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Archive for category: AI & Legal Process

You are here: Home1 / Blog2 / 6. Tools Templates Research & Cases3 / AI & Legal Process

This section explores the role of artificial intelligence and digital tools within legal processes, with a focus on how technology interacts with responsibility, decision-making, and access to justice. It examines AI as a support tool rather than a decision-maker, particularly in the context of self-representation and court-based procedures.

Content in this category addresses both the opportunities and risks associated with using AI in legal contexts, including issues of accuracy, accountability, and ethical use. It is intended to help litigants in person and legal professionals understand how technology can assist with preparation and understanding without replacing human judgment or procedural responsibility.

Can We Trust AI With Family Court Documents? Open AI, Closed AI and the Legal Tech Divide

June 3, 2026/0 Comments/in 6. Tools Templates Research & Cases, AI & Legal Process/by jessica susan hill

Artificial intelligence is already entering family law — but before we ask what AI can draft, summarise or predict, we need to ask a more urgent question: can we trust it with family court documents, children’s information and domestic abuse material? The difference between open AI and closed AI is not just a technical debate for developers. In family law legal tech, it is a question of privacy, safeguarding, transparency, accountability and who gets to control the tools that may shape access to justice.

Legal Technology | Family Law | Artificial Intelligence

Open AI or Closed AI? Why the Difference Matters for Family Law Legal Tech

Artificial intelligence is moving rapidly into legal services. But for family law, the question is not simply whether AI can draft, summarise or analyse. The deeper question is what kind of AI should be trusted with sensitive family court material: open, closed, transparent, proprietary, local, cloud-based, regulated, auditable — or some careful combination of all of them?

By Jessica Susan Hill, JSH Law | Family law, access to justice, litigants in person and legal technology commentary

The real issue is trust

In family law, AI is not being asked to summarise ordinary business documents. It may be asked to handle domestic abuse allegations, safeguarding material, children’s wishes and feelings, Cafcass reports, medical evidence, school records, police disclosure, social services records, witness statements, private messages and intensely personal family histories.

That means the debate between open AI and closed AI is not a niche technical debate. It is an access-to-justice, data protection, safeguarding and public confidence issue.

In this article

  • What do we mean by open AI and closed AI?
  • Why family law is different
  • The case for closed AI in family law legal tech
  • The case for open AI in family law legal tech
  • The risks on both sides
  • What this means for litigants in person
  • What this means for solicitors, barristers and McKenzie Friend support
  • What this means for the family courts
  • The future: hybrid, accountable and human-led

What do we mean by open AI and closed AI?

The language can be confusing. People often use “open AI” to mean several different things:

  • AI models where the code is open;
  • AI models where the model weights are available;
  • AI systems that can be run locally rather than through a private cloud service;
  • AI tools where the training data and methodology are transparent;
  • AI tools that can be inspected, tested, adapted or independently audited; or
  • AI that is simply marketed as “open”, even where important parts remain hidden.

This matters because open-source AI, open-weight AI and transparent AI are not always the same thing.

Plain English definitions

Closed AI usually means a proprietary AI system controlled by a company or provider. Users interact with it through an interface or API, but they cannot fully inspect the model, weights, training data or internal decision-making process.

Open AI usually means an AI system where some elements are more transparent, accessible or modifiable. This may include open-source code, available model weights, local deployment, public documentation, or greater scope for independent testing.

Open-weight AI means the model weights are available, but that does not necessarily mean the full training data, training process, safety testing or source code are open.

For family law legal tech, the question is not ideological. It is practical:

Which model gives the safest, fairest, most accountable support for people dealing with family court?

Why family law is different

Family law is not like ordinary commercial work. It involves children, safeguarding, domestic abuse, emotional distress, personal histories, disputed allegations and confidential court material.

A family law AI tool may be asked to assist with:

  • chronologies;
  • position statements;
  • witness statement structure;
  • Cafcass report review;
  • domestic abuse allegation schedules;
  • child arrangements issues;
  • bundle organisation;
  • fact-finding preparation;
  • summaries of messages, emails and disclosure;
  • identifying missing evidence;
  • drafting questions for hearings;
  • explaining court orders in plain English; and
  • helping litigants in person understand procedure.

These are high-risk tasks. A mistake may not merely inconvenience someone. It may affect how risk is presented, how a child’s welfare is understood, whether domestic abuse is properly identified, or whether a litigant in person feels falsely reassured.

Family law AI must not become false confidence at scale

A tool that sounds confident but misunderstands safeguarding, procedure, evidence or the limits of its own knowledge can be dangerous. In family law, the appearance of authority is not enough. Accuracy, context and human oversight matter.

The case for closed AI in family law legal tech

Closed AI systems are often criticised because users cannot see fully inside them. But they may have important advantages, particularly where the provider has invested heavily in safety, security, reliability, infrastructure, monitoring and user support.

In family law legal tech, closed AI may offer:

  • stronger infrastructure — enterprise-grade hosting, uptime, resilience and support;
  • better usability — interfaces that ordinary users can actually understand;
  • advanced model capability — strong drafting, summarisation and reasoning support;
  • centralised safety controls — provider-level guardrails, abuse monitoring and updates;
  • contractual protections — enterprise agreements, data processing terms and service-level commitments;
  • rapid updates — improvements can be deployed quickly by the provider;
  • support for integrations — document systems, CRMs, practice management platforms and secure legal workflows; and
  • lower technical burden — law firms and support organisations do not need to host or maintain their own models.

For many small law firms, charities, McKenzie Friend services, legal support providers and litigants in person, a closed AI tool may be more realistic than building and maintaining a local AI system.

The best argument for closed AI

Closed AI may be more accessible, more polished and easier to deploy safely at scale. For access to justice, usability matters. A theoretically transparent tool that vulnerable users cannot operate is not useful.

But the trade-off is trust. If the model is closed, users may not know exactly how it was trained, what data influenced it, how it handles bias, or why it produced a particular answer.

The case for open AI in family law legal tech

Open AI appeals to many legal technologists because it promises greater transparency, independence and control.

In family law, open or locally deployable AI could offer:

  • greater auditability — researchers and developers may be able to test behaviour more closely;
  • local deployment — sensitive material may be processed within a controlled environment rather than sent to an external cloud service;
  • customisation — models can potentially be adapted for family law procedure, domestic abuse terminology and litigant in person support;
  • reduced vendor lock-in — organisations are not entirely dependent on one commercial provider;
  • cost control — open models may reduce long-term cost for public-interest projects;
  • public-interest innovation — universities, charities, legal clinics and access-to-justice groups can build tools without waiting for commercial providers;
  • independent testing — bias, hallucination and safeguarding risks can be examined more openly; and
  • sovereignty and control — courts, public bodies or legal charities may prefer systems they can govern directly.

The best argument for open AI

In family justice, transparency matters. If AI tools are used to support vulnerable people, summarise evidence or shape legal preparation, there is a powerful argument that their design, limits and risk profile should be open to scrutiny.

Open AI may be particularly important for public-interest legal technology. If access-to-justice tools are controlled entirely by private providers, there is a risk that family justice innovation becomes dependent on commercial priorities rather than public need.

The risks on both sides

Neither open AI nor closed AI is automatically safe. Both can be used well. Both can be used badly.

Issue Closed AI risk Open AI risk
Transparency Users may not know how the model works or why it produced an answer. Openness may be partial. “Open” does not always mean fully explainable.
Privacy Sensitive family court material may be sent to external systems unless properly controlled. Local deployment may be safer, but poor configuration can create serious security risks.
Cost Subscription costs may exclude small providers, charities and litigants in person. Hosting, maintenance, specialist setup and governance may still be expensive.
Safety Safety controls are provider-controlled and may not be independently visible. Open models can be modified, weakened or misused if safeguards are removed.
Bias Bias may be difficult to audit from outside the system. Bias may still exist in training data, fine-tuning data or deployment choices.
Accountability Responsibility may be blurred between user, firm, platform and model provider. Responsibility may be blurred between model creator, deployer, modifier and end user.

The right question is not “which is good and which is bad?” The right question is:

What safeguards are in place for this specific family law use case?

What this means for litigants in person

Litigants in person are already using AI. Some use it to explain orders, draft emails, summarise evidence, prepare statements or understand court language.

That can be helpful. It can also be risky.

A litigant in person may not know:

  • whether the tool stores their information;
  • whether uploaded documents may be used to improve a model;
  • whether the answer is accurate under family procedure;
  • whether the tool is inventing law or cases;
  • whether confidential family court material can be entered safely;
  • whether the tool understands domestic abuse dynamics;
  • whether the output is too emotional, too aggressive or procedurally inappropriate; or
  • whether they should seek urgent legal advice instead.

Practical guidance for litigants in person using AI

  1. Do not upload confidential family court documents into a tool unless you understand the privacy position.
  2. Do not rely on AI as legal advice. Use it for organisation, plain-English explanation and drafting support, not final legal judgment.
  3. Check every rule, case, form and deadline. AI can be wrong.
  4. Remove children’s names and identifying details where possible.
  5. Use AI to structure your thoughts, not to replace your evidence.
  6. Keep your tone court-appropriate. AI may produce language that feels powerful but is too argumentative for family court.
  7. If safeguarding is urgent, do not wait for AI. Contact police, domestic abuse services, a solicitor or the court as appropriate.

For litigants in person, AI should be a support tool, not a decision-maker. It can help create order from chaos, but it cannot understand your child, your risk, your judge or your evidence in the way a properly informed human professional can.

What this means for solicitors, barristers and McKenzie Friend support

Legal professionals and litigation support providers need to think carefully about what kind of AI they use and for what purpose.

For professional users, the key questions include:

  • Is client consent required before using AI on their material?
  • Is the data being uploaded to a third-party system?
  • Is the tool covered by a proper data processing agreement?
  • Can confidential, privileged or sensitive material be used safely?
  • Can outputs be checked by a competent human?
  • Is the model being used for administrative support or legal reasoning?
  • Is the tool suitable for domestic abuse and safeguarding material?
  • Is there an audit trail?
  • Who is responsible if the output is wrong?
  • Can the organisation explain its AI use to clients and the court?

The professional duty point

AI does not remove professional responsibility. If a human professional uses AI to prepare, summarise or draft material, the human remains responsible for checking accuracy, confidentiality, tone, relevance and procedural appropriateness.

In practice, the safest immediate uses of AI in family law are likely to be:

  • document organisation;
  • drafting neutral chronologies;
  • identifying missing documents;
  • creating first-draft hearing preparation notes;
  • turning emotional narratives into structured issue lists;
  • summarising long message threads, subject to confidentiality controls;
  • plain-English explanation of procedural terminology; and
  • internal workflow support.

The higher-risk uses are:

  • predicting case outcomes;
  • assessing witness credibility;
  • ranking parental risk without expert oversight;
  • generating legal advice without review;
  • drafting allegations without evidential checking;
  • summarising children’s wishes and feelings without context;
  • analysing domestic abuse dynamics without specialist knowledge; and
  • producing court-ready documents with no human review.

What this means for the family courts

The courts will increasingly encounter AI-generated material. Litigants in person may file AI-assisted statements. Lawyers may use AI to summarise bundles. Judges may use AI in limited administrative or research-support contexts, subject to judicial guidance.

The family court will therefore need a practical approach, not panic and not blind enthusiasm.

The court may need to ask:

  • Was AI used to prepare this document?
  • Has the party checked the content personally?
  • Are there invented cases, inaccurate rules or unsupported allegations?
  • Has confidential material been handled appropriately?
  • Is the document still the party’s own evidence?
  • Has AI made the material clearer, or has it distorted the party’s voice?
  • Is the use of AI creating unfairness between represented and unrepresented parties?

AI should not erase the litigant’s voice

In family court, personal evidence matters. A polished AI-assisted statement may look impressive, but it must still be accurate, truthful and genuinely based on the party’s own evidence. The court needs clarity, not artificial perfection.

This is where family law legal tech must be designed carefully. The goal should not be to make every litigant sound like a barrister. The goal should be to help people present relevant facts, evidence, chronology and safeguarding concerns in a way the court can understand.

The future: hybrid, accountable and human-led

The future of family law legal tech is unlikely to be purely open or purely closed.

The better model is likely to be hybrid:

  • closed, secure systems for some high-capability tasks;
  • open or locally hosted models for sensitive document analysis;
  • specialist family law workflows designed by people who understand court process;
  • clear user warnings and limits;
  • human review before anything is filed or relied upon;
  • audit trails for professional users;
  • privacy-by-design architecture;
  • plain-English support for litigants in person;
  • specialist safeguarding prompts; and
  • transparent governance about what the tool can and cannot do.

Family law AI should be judged by practical outcomes:

  • Does it help people understand the process?
  • Does it protect confidentiality?
  • Does it reduce overwhelm?
  • Does it improve the quality of evidence organisation?
  • Does it avoid making unsafe assumptions?
  • Does it support, rather than replace, human judgment?
  • Does it make access to justice better for people who cannot afford representation?

The standard should be higher in family law

In family law, AI tools must be designed for vulnerability, trauma, safeguarding, privacy and procedural fairness. A generic AI assistant is not automatically suitable for family court work.

Practical summary

  1. Open AI and closed AI are not simple opposites. There are degrees of openness, transparency and control.
  2. Closed AI may offer power, polish and safety infrastructure. But it can be harder to inspect or audit.
  3. Open AI may offer transparency, control and local deployment. But it can still be risky if poorly governed.
  4. Family law is high-risk. Children, safeguarding, domestic abuse and confidential court material require stricter standards.
  5. Litigants in person need clear warnings. AI can help organise material, but it is not a solicitor, barrister or judge.
  6. Professionals remain responsible. AI output must be checked carefully before being used.
  7. The future is likely to be hybrid. The best systems will combine capability, privacy, accountability and human oversight.

Need help organising your family court case?

JSH Law supports litigants in person with practical family court preparation, including document organisation, chronologies, position statements, safeguarding issue mapping, Cafcass report review and hearing preparation.

AI can help people organise information, but it should not replace careful human review, procedural understanding or safeguarding awareness.

Final thought: family law legal tech must be built for trust

Open AI and closed AI both have a role to play. But in family law, the priority cannot simply be speed, automation or novelty.

The priority must be trust.

Trust that private family material is protected.

Trust that survivors of abuse are not misunderstood by generic systems.

Trust that children’s welfare is not reduced to a data-processing exercise.

Trust that litigants in person are being supported, not misled.

Trust that human professionals remain accountable.

The future of family law legal tech should not be open versus closed as a slogan. It should be safe, transparent, accountable and human-led by design.

Useful links and further reading

  • Open Source Initiative: The Open Source AI Definition
  • ICO: Artificial intelligence and data protection
  • ICO: Guidance on AI and data protection
  • The Law Society: Generative AI — the essentials
  • The Law Society: AI and lawtech policy
  • Judiciary: Artificial Intelligence Guidance for Judicial Office Holders
  • UK Government: AI regulation — a pro-innovation approach
Jessica Susan Hill of JSH Law

About the author

Jessica Susan Hill is the founder of JSH Law, supporting litigants in person with practical family court preparation, document organisation, hearing support, chronologies, position statements and procedural guidance.

Jessica writes about access to justice, family court reform, domestic abuse, safeguarding, litigants in person and the role of legal technology in improving practical support for court users.

Regulatory & Editorial Notice

This article is provided for general public legal education, technology commentary and access-to-justice discussion only. It is not legal advice, technology procurement advice, data protection advice or professional regulatory advice.

JSH Law is not regulated by the Solicitors Regulation Authority and does not conduct reserved legal activities. Support is provided to litigants in person in a practical, procedural and document-preparation capacity.

Anyone using AI in connection with legal work, family court documents, children proceedings, domestic abuse material, confidential information or personal data should consider confidentiality, privilege, data protection, court rules, professional duties and the need for human review. Where formal legal advice, data protection advice, regulated legal services or specialist technology governance is required, readers should seek assistance from an appropriately qualified professional.

References to third-party guidance, AI systems and legal technology developments are included for public-interest discussion and may change as law, regulation and technology develop.

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https://jshlaw.co.uk/wp-content/uploads/2026/02/ChatGPT-Image-Feb-3-2026-03_26_42-AM.png 1024 1536 jessica susan hill https://jshlaw.co.uk/wp-content/uploads/2026/01/jsh-law-logo-new-black-300x67.png jessica susan hill2026-06-03 18:55:322026-06-03 18:55:34Can We Trust AI With Family Court Documents? Open AI, Closed AI and the Legal Tech Divide

Pathfinder Is Failing Children: What Litigants in Person Are Really Seeing Inside the Family Courts

May 26, 2026/0 Comments/in 6. Tools Templates Research & Cases, AI & Justice Reform, AI & Legal Process/by jessica susan hill

Pathfinder is being presented as the future of private family law: quicker, more child-focused, and more responsive to harm. But many litigants in person are experiencing something very different — delay, weak analysis, overstretched Cafcass involvement, and children left suffering while adults talk about reform. If the system says it is now listening to children, the real question is whether it is truly understanding them.

Illustration representing Pathfinder family court reform, Cafcass pressures, and children caught in private family law proceedings

Pathfinder, Cafcass and the Children Still Falling Through the Cracks

Why Many Litigants in Person Feel the Family Court Reforms Are Failing the Very Children They Claim to Protect

There is a growing narrative within the family justice system that the new “child focused courts” model — previously known as the private law Pathfinder — represents a transformational shift in private family law proceedings.

Cafcass leaders have described the reform as a major opportunity to see more children, earlier in proceedings. The judiciary has welcomed the national rollout of Child Focused Courts across England and Wales. Cafcass’s own Strategic Plan 2026–2029 describes the reform as one of the most significant changes to private family law proceedings in a generation.

On paper, this sounds encouraging.

But many parents living through the family court system are asking a very different question:

The Question Families Are Asking

If the system is improving, why are so many children still losing meaningful relationships with safe parents?

At JSH Law, we speak to litigants in person who describe delay, weak safeguarding, inconsistent Cafcass involvement, poor-quality reports, minimisation of coercive control, procedural chaos, and a system that often appears overwhelmed long before a child’s voice is properly heard.

For many families, Pathfinder does not feel child-focused.

It feels process-focused.

And children are paying the price.

A System Under Pressure — and Children Caught in the Middle

Recent reporting on Cafcass and private law reform states that Cafcass family court advisers are expected to move from seeing children in around 30% of private law cases to approximately 75%.

That sounds positive. Children should be seen. Their wishes and feelings matter. Their lived experience should be central to proceedings about where they live, who they spend time with, and whether they are safe.

But the problem is not the principle.

The problem is implementation.

The Reality on the Ground

Many litigants in person experience a system where:

  • Cafcass officers appear overstretched;
  • reports vary dramatically in quality;
  • safeguarding concerns are not always analysed with sufficient depth;
  • coercive control can be misunderstood or minimised;
  • children wait months to be properly heard;
  • interim arrangements drift into long-term realities;
  • and the parent-child relationship can be damaged before the court has fully understood the facts.

Once contact has broken down for months — sometimes longer — the damage to the child’s relationship with a parent can become profound.

Children do not experience delay in the same way institutions do. A year in adult litigation is frustrating. A year in a child’s life can be formative.

“The Child’s Voice” Means Very Little If the System Cannot Properly Analyse What It Is Hearing

One of the central ideas behind Pathfinder and Child Focused Courts is the increased use of Child Impact Reports. These reports are intended to bring the child’s experience into the case earlier.

That is a good aim.

But speaking to a child is not the same as understanding the dynamics around that child.

Children caught in private law proceedings may be navigating:

  • coercive control;
  • loyalty conflict;
  • emotional pressure;
  • fear;
  • trauma responses;
  • attachment disruption;
  • adult narratives imposed upon them;
  • and anxiety about upsetting either parent.

Seeing a Child Is Not the Same as Understanding a Child

A short wishes-and-feelings exercise cannot safely untangle complex family dynamics unless the practitioner has the time, training, evidence, and analytical framework to understand what is really happening.

That is particularly important where domestic abuse, coercive control, parental manipulation, alienating behaviours, or post-separation abuse are alleged.

A rushed assessment may give the appearance of listening to the child while still failing to understand the pressures operating around them.

The Harm Panel Warned About These Problems in 2020

The Ministry of Justice’s landmark Harm Panel Report, formally titled Assessing Risk of Harm to Children and Parents in Private Law Children Cases, identified serious structural problems in the family court system.

The report found that domestic abuse was too often minimised, children’s voices were not sufficiently heard, and a pro-contact culture could create unsafe outcomes.

That report was published in 2020.

Six years later, many litigants in person still describe the same problems.

Six Years After the Harm Panel

The family justice system has had years to absorb the findings of the Harm Panel. Yet many parents still report:

  • domestic abuse being minimised;
  • coercive control being misunderstood;
  • children’s expressed wishes being taken at face value without enough analysis;
  • unsafe contact being normalised;
  • and victims being treated as “difficult” when they raise safeguarding concerns.

The Domestic Abuse Commissioner has continued to raise concerns about the experience of victims and survivors in the family court. Her work on the Family Court and domestic abuse highlights continuing concerns about trauma, unsafe outcomes, and cultural change still being needed.

The Problem With “Speed” in Family Justice

One of the major selling points of Pathfinder is speed.

Children should not spend years in proceedings. That is right.

But speed without depth is dangerous.

A flawed assessment completed quickly is not justice.

A weak safeguarding analysis produced within target timescales is not safeguarding.

A child’s relationship with a parent should not be permanently damaged because the system is trying to move quickly through an overloaded list.

Fast Is Not the Same as Safe

The family court should not confuse administrative efficiency with child protection. A quick report is only useful if it is accurate, balanced, properly evidenced, and alert to coercive and controlling dynamics.

Many litigants in person feel railroaded through proceedings where allegations are not properly tested, evidence is not properly analysed, and interim arrangements become entrenched before the court has reached a fully informed view.

In private children proceedings, “temporary” can become a childhood.

The Reality for Litigants in Person

The family court is increasingly populated by parents without legal representation.

The Law Society has previously reported that in a significant proportion of private family law cases, both parties are unrepresented. This matters because litigants in person are expected to navigate a legally and emotionally complex process while often being under extreme stress.

They may be expected to:

  • understand safeguarding law and procedure;
  • prepare evidence;
  • respond to Cafcass reports;
  • challenge weak recommendations;
  • understand Practice Direction 12J;
  • prepare position statements;
  • draft witness statements;
  • deal with disclosure;
  • understand fact-finding hearings;
  • and advocate in emotionally charged hearings.

The Litigant in Person Problem

Private family law reform cannot work properly if the system continues to assume that unrepresented parents can somehow perform the role of solicitor, evidence manager, safeguarding analyst, advocate, and traumatised parent all at once.

This is one of the reasons JSH Law exists: to help litigants in person bring structure, clarity, chronology, evidence management, and procedural understanding to cases that can otherwise feel impossible to manage alone.

The Difficult Truth About Cafcass

There are undoubtedly excellent Cafcass officers. Many care deeply about children and are trying to do difficult work in difficult conditions.

But systems matter more than individual goodwill.

The current system appears structurally overstretched. Cafcass’s own strategic materials refer to the scale of reform, the need for workforce capacity, and the importance of ensuring areas do not go live without sufficient practitioners.

Recent reporting has also highlighted demand pressures, caseload pressures, recruitment issues, and sickness absence.

Good People Cannot Fix a Broken Structure Alone

When professionals are overloaded, analytical quality is at risk. When analytical quality drops, children are at risk of becoming case numbers rather than fully understood human beings.

This is not about attacking individual Cafcass officers. It is about asking whether the structure they are working within is capable of delivering what children actually need.

Family Courts Are Still Struggling to Understand Coercive Control

One of the greatest ongoing concerns in private law children proceedings remains the handling of coercive and controlling behaviour.

Coercive control is rarely simple. It is not always obvious. It often involves patterns rather than single incidents.

It may include:

  • emotional manipulation;
  • gaslighting;
  • financial control;
  • threats;
  • isolation;
  • litigation abuse;
  • controlling communication;
  • weaponising children;
  • undermining the other parent’s relationship with the child;
  • and creating a climate of fear or instability.

The statutory definition of domestic abuse is now set out in the Domestic Abuse Act 2021. The Act expressly recognises controlling or coercive behaviour, and it also recognises that children can be victims of domestic abuse where they see, hear, or experience the effects of abuse.

Children Can Be Victims of Domestic Abuse

Under the Domestic Abuse Act 2021, section 3, a child who sees, hears, or experiences the effects of domestic abuse is treated as a victim of domestic abuse in their own right.

This matters enormously in private law proceedings.

A child is not merely “caught in the middle” when there is coercive control. A child may be directly harmed by the atmosphere, fear, pressure, instability, and emotional consequences of abuse.

Could Technology and AI Help?

This is where the conversation becomes uncomfortable for some professionals.

Many litigants are now asking whether properly designed legal technology and AI tools could help the family justice system analyse evidence more consistently.

AI is not a replacement for judges, social workers, lawyers, or safeguarding professionals.

But it may become a valuable support tool.

Where AI Could Help

Used ethically, transparently, and carefully, AI could assist with:

  • chronology analysis;
  • identifying patterns of coercive behaviour;
  • flagging inconsistencies in evidence;
  • mapping allegations to statutory definitions;
  • organising large bundles;
  • supporting litigants in person with procedural preparation;
  • helping professionals identify safeguarding issues earlier;
  • and reducing administrative overload.

AI does not get tired halfway through a caseload.

It does not experience compassion fatigue.

It does not forget key chronology points after a difficult week.

It does not unconsciously prefer the more articulate litigant because they present better in a short meeting.

But AI also carries risks.

It can be biased. It can be wrong. It can hallucinate. It can reinforce existing systemic assumptions if designed badly.

That is why AI in family justice must be carefully governed, auditable, transparent, and used as a support mechanism — not as a substitute for human judgment.

The Sensible Position on AI

The question is not whether AI should replace Cafcass, judges, or lawyers. It should not. The question is whether carefully designed legal technology could reduce avoidable error, improve consistency, assist litigants in person, and help professionals manage evidence more safely.

What Would Actually Help Children?

If the family justice system genuinely wants to become child-focused, it must move beyond language and confront the harder structural issues.

1. Smaller Caseloads

No safeguarding professional can consistently produce high-quality analysis while carrying an unmanageable caseload.

2. Better Training on Coercive Control

Not superficial training. Not tick-box training. Deep, practical, behavioural training on post-separation abuse, coercive control, trauma, litigation abuse, and child impact.

3. Proper Support for Litigants in Person

Litigants in person need clear procedural guidance, accessible legal information, structured templates, and affordable support to prepare their cases properly.

4. Independent Oversight of Cafcass Report Quality

There must be more meaningful accountability where reports are weak, incomplete, poorly reasoned, or fail to engage with safeguarding evidence.

5. Better Evidence Management

Courts need better systems for handling chronologies, messages, allegations, police evidence, school evidence, medical evidence, and patterns of behaviour.

6. Ethical Use of Legal Technology

AI and legal technology should be explored as tools to improve consistency, identify safeguarding concerns, support litigants in person, and reduce administrative burden.

7. A Realistic Understanding of Child Time

Children cannot wait years for adults to perfect a system around them.

The Central Issue

Family justice reform must be measured by what happens to children in real cases — not by whether a new process sounds better on paper.

What Litigants in Person Can Do Now

If you are involved in private law children proceedings and you are worried about a Cafcass report, safeguarding analysis, contact breakdown, or Pathfinder process, you need to get organised early.

Practical steps may include:

  • keeping a clear chronology;
  • saving all relevant communication;
  • identifying specific safeguarding concerns;
  • mapping allegations to evidence;
  • understanding PD12J;
  • preparing focused position statements;
  • responding carefully to Cafcass reports;
  • asking the court for specific directions where evidence is missing;
  • and avoiding emotional, unfocused submissions wherever possible.

JSH Law Can Help

JSH Law supports litigants in person with court preparation, chronologies, statements, evidence organisation, Cafcass report responses, safeguarding issue mapping, and hearing preparation.

If you are representing yourself in private children proceedings and feel overwhelmed, you do not have to manage the entire process alone.

Final Thoughts

There are good people inside Cafcass. There are dedicated judges. There are committed practitioners. But good intentions alone do not fix structural problems.

Many litigants in person feel the family justice system remains reactive, inconsistent, overloaded, and too often incapable of properly understanding the complexity of coercive control, domestic abuse, and long-term parent-child harm.

Pathfinder may be intended as reform.

But from the perspective of many families living through it, it risks becoming another procedural redesign that does not address the deeper cultural and operational problems underneath.

Children deserve more than optimistic policy language.

They deserve systems capable of consistently protecting them.

And right now, many families do not believe we are there yet.

Children Cannot Wait

A delayed childhood cannot be repaired by a better policy document years later. If reform is not felt by children and families on the ground, it is not yet reform.


Regulatory & Editorial Notice

JSH Law is not a firm of solicitors and is not regulated by the Solicitors Regulation Authority. We provide litigation support, procedural assistance, legal information, and McKenzie Friend services to litigants in person. We do not conduct litigation or carry out reserved legal activities.

This article is general commentary on matters of public interest relating to the family justice system, Cafcass, Child Focused Courts, domestic abuse, safeguarding, access to justice, and litigants in person. Any references to lived experience, poor practice, or systemic concern are made in general and anonymised terms. No confidential details of any individual case are disclosed.

This article does not constitute legal advice. Readers should obtain advice from a qualified legal professional about their own circumstances.

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BSB AI Guidance 2026: What Barristers Must Now Understand About AI, Ethics and Professional Competence

May 20, 2026/0 Comments/in AI & Legal Process, Legal Reflections, McKenzie Friend Support/by jessica susan hill

Almost a year after the decision in Ayinde v London Borough of Haringey [2025] EWHC 1383 (Admin) should have woken the sleeping bears in the legal profession, the Bar Standards Board has now published its long-awaited guidance on the use of Artificial Intelligence and emerging technologies by barristers. The message is unmistakable: competence in modern legal practice now includes understanding AI, its risks, its limitations and its ethical implications. This is no longer simply a technology discussion. It is now a professional standards issue.

Newsflash for Barristers: AI Competence Is Now a Professional Standards Issue

Almost a year after Ayinde v London Borough of Haringey [2025] EWHC 1383 (Admin), the legal profession has received another clear warning: artificial intelligence is no longer something barristers can treat as optional background noise. The Bar Standards Board’s new guidance on the use of Artificial Intelligence and other technologies, published on 18 May 2026, makes the position plain. AI is now firmly within the territory of professional competence, ethical judgment, client protection and duties to the court.

For barristers, this is not simply about whether they personally use ChatGPT, Copilot, Claude, Gemini or any other AI system. It is about whether they understand how these tools may affect their work, their clients, their opponents, the evidence before the court and the administration of justice itself.

The Core Message

AI is a tool. It is not a substitute for professional judgment.

Barristers remain responsible for every submission, every authority, every factual assertion and every document placed before the court. If AI has assisted in producing that work, the professional responsibility still sits with the human advocate.

Why This Guidance Matters

The Bar Standards Board has made clear that existing professional duties already apply to the use of AI and other technologies. This is important. The BSB has not created a separate “AI rulebook” sitting outside professional conduct. Instead, it has confirmed that the familiar duties of competence, honesty, confidentiality, independence and client protection all apply when technology is used in legal practice.

The guidance follows a period of growing concern about legal professionals relying on AI-generated material without proper verification. The most obvious warning sign came from Ayinde v London Borough of Haringey, where the court considered the use of false legal citations in court material. The case became a watershed moment because it exposed the risk of AI-generated legal content being treated as reliable when it had not been properly checked.

This should have woken the sleeping bears in the legal profession. In truth, some were already awake. Others are only just realising that AI is not simply a productivity tool. It is a professional standards issue.

Key Authority

BSB Guidance: New guidance supports barristers to safely adopt Artificial Intelligence and emerging technologies

Judgment: Ayinde v London Borough of Haringey and Al-Haroun v Qatar National Bank

Core Duties: The BSB Core Duties

Core Duty 7: Competence Now Includes AI Literacy

Core Duty 7 requires barristers to provide a competent standard of work and service to each client. The BSB’s new guidance makes clear that competence now includes maintaining a sufficient level of awareness of technology and AI to understand how they may affect practice.

That does not mean every barrister must become a software engineer. It does mean that a barrister cannot responsibly ignore AI altogether.

A competent barrister now needs to understand, at least at a practical level:

  • how AI tools may generate inaccurate or fabricated material;
  • how AI-generated citations, summaries or submissions can mislead the court if not checked;
  • how client confidentiality and legal professional privilege may be compromised;
  • how AI may be used by clients, opponents, solicitors, experts or litigants in person;
  • how AI-generated evidence or prompt histories may arise in proceedings;
  • how bias may appear in AI outputs; and
  • what safeguards are needed before any AI-assisted work is relied upon.

Professional Standard

The “I do not use AI” answer is no longer enough.

Even barristers who do not personally use AI still need to understand how it may affect their cases, their clients, opposing parties, evidence and court submissions.

The Lesson from Ayinde

Ayinde was not just a case about fake citations. It was a case about professional responsibility.

The court was concerned with legal material being placed before it without proper checking. That concern goes directly to the administration of justice. Courts rely on lawyers to assist them accurately. When non-existent authorities, inaccurate quotations or unreliable legal propositions are put before the court, the problem is not merely technical. It undermines trust.

AI systems can produce text that looks confident, polished and legally plausible. That is precisely why they are dangerous when used without verification. A hallucinated authority may look entirely credible to a busy reader. It may contain a realistic case name, a neutral citation, judicial language and a convincing summary. But if it does not exist, it is not a minor drafting error. It is a serious professional problem.

Client Confidentiality and Privilege

One of the most important issues raised by AI in legal practice is confidentiality.

Barristers handle highly sensitive material. In family law, that may include allegations of domestic abuse, safeguarding concerns, medical information, children’s wishes and feelings, school records, police material, local authority records and private communications.

Putting that information into a free or general AI tool without proper safeguards may create serious risks. The questions are obvious:

  • Where is the data going?
  • Is it being stored?
  • Can it be reviewed by humans?
  • Can it be used to train future systems?
  • Has the client consented?
  • Has privilege been protected?

Confidentiality Warning

Free or general AI tools should not be treated as safe spaces for client information.

Where sensitive or privileged information is involved, barristers must consider confidentiality, data security, contractual protections, client consent and professional obligations before using AI.

Why Family Law Needs Particular Care

Family law is one of the areas where AI competence matters most.

Litigants in person are already using AI. They are using it to draft statements, prepare position statements, summarise messages, organise evidence, understand procedure and prepare questions for hearings. Some are using it carefully. Some are not.

This creates a new challenge for the family justice system. AI-generated material may appear in proceedings without being clearly identified. A parent may rely on an AI-generated summary of WhatsApp messages. A witness statement may contain legal phrases the party does not understand. A chronology may omit context because an AI tool compressed the material too aggressively. A safeguarding concern may be overstated, understated or framed in language that does not reflect the underlying evidence.

This does not mean AI should be dismissed. Used carefully, AI can help litigants in person organise complex information and reduce procedural overwhelm. But used carelessly, it can distort evidence, create false confidence and introduce material that may not withstand scrutiny.

Family Justice Reality

The family court is already in the AI era.

The issue is no longer whether litigants in person will use AI. They already are. The real question is whether lawyers, barristers, judges, regulators and support professionals can respond safely, ethically and intelligently.

Bias, Safeguarding and Vulnerable Court Users

AI systems are not neutral simply because they are technological. They are trained on data. That data may contain bias, assumptions and patterns that do not translate safely into legal decision-making.

In family proceedings, this matters. Cases may involve trauma, domestic abuse, coercive control, disability, neurodivergence, poverty, language barriers, cultural issues and safeguarding concerns. An AI system may not understand the lived reality behind the material it processes. It may miss context. It may flatten nuance. It may reproduce stereotypes. It may present speculation as analysis.

Barristers must therefore remain alert to bias in AI outputs and must not allow AI-generated material to replace human judgment, evidential analysis or professional responsibility.

The Duty to the Court Comes First

Core Duty 1 requires barristers to observe their duty to the court in the administration of justice. That duty remains central when AI is used.

If AI assists with drafting, research, summarising or analysis, the barrister must still ensure that anything placed before the court is accurate, properly sourced and not misleading. The court is entitled to expect that legal professionals have checked their work.

That includes checking:

  • case citations;
  • statutory references;
  • quotations;
  • procedural rules;
  • practice directions;
  • factual summaries;
  • chronologies;
  • and any legal propositions generated or assisted by AI.

The Non-Negotiable Rule

If you put it before the court, you own it.

AI cannot be blamed for inaccurate submissions. Professional responsibility remains with the barrister.

Transparency: When Should AI Use Be Disclosed?

The question of transparency is likely to become increasingly important. Not every use of AI will need to be announced. There is a difference between using AI to improve internal workflow and relying on AI-generated legal or evidential analysis in a way that affects the service provided.

However, barristers should consider whether AI use has a material impact on the work being done, the advice being given or the material being placed before the court. They should also consider whether the client needs to know that AI is being used and whether consent is required in the circumstances.

The safest approach is not performative disclosure. It is thoughtful, risk-based transparency.

The New Competence Standard for Modern Advocates

The future barrister will not be replaced by AI. But the barrister who understands AI may have a significant advantage over the barrister who ignores it.

The modern advocate will increasingly need:

  • legal expertise;
  • ethical judgment;
  • digital literacy;
  • evidence-handling skills;
  • data awareness;
  • an understanding of AI limitations;
  • and the ability to explain technology-related risks clearly to clients and courts.

This is particularly true in family law, where the volume of digital evidence is increasing and where litigants in person are often trying to navigate complex proceedings with limited resources.

The Bigger Point

AI competence is not about chasing trends. It is about protecting clients, protecting the court process and protecting the integrity of legal work.

Technology does not remove professional duties. It sharpens them.

What Barristers Should Be Doing Now

Barristers should now be taking practical steps to ensure that their use, understanding and supervision of AI is consistent with professional obligations.

At a minimum, that should include:

  • reading the BSB guidance in full;
  • reviewing chambers policies on AI and technology;
  • checking whether any AI tools used are secure and appropriate;
  • avoiding the input of confidential or privileged material into unsafe systems;
  • verifying all AI-assisted legal research against authoritative sources;
  • keeping records of how AI-assisted work has been checked where appropriate;
  • being alert to AI-generated material produced by clients or opponents;
  • considering whether AI use should be disclosed to clients;
  • and undertaking training sufficient to maintain technological competence.

For Those Training Toward Advocacy, the Message Is Clear

This guidance is not only relevant to practising barristers. It is also important for anyone training toward qualification, advocacy or a future role in modern legal practice.

The standards expected of the profession are moving. Those entering the profession now need to understand not only black-letter law and procedure, but also how technology interacts with evidence, ethics, confidentiality, client care and court duties.

That does not diminish the role of lawyers. It raises the standard.

Final Thought

The legal profession does not need to panic about AI. But it does need to stop pretending that AI is optional.

The BSB’s guidance is a significant marker in the development of professional standards. It confirms that AI is now part of the competence conversation. For barristers, the message is simple: understand the tools, understand the risks, protect your clients, protect the court, and never allow technology to replace professional judgment.

Almost a year after Ayinde, the warning has become impossible to ignore. The sleeping bears have been woken.

About the Author

Jessica Susan Hill is the founder of JSH Law, providing practical family court support, litigation strategy and evidence-led case analysis for litigants in person.

Jessica works at the intersection of family justice, access to justice and emerging legal technology, with a particular interest in how AI can be used safely and ethically to support litigants in person, improve procedural clarity and reduce overwhelm in complex family proceedings.

JSH Law is not an SRA-regulated firm and does not conduct reserved legal activities. Support is provided to litigants in person through litigation support, McKenzie Friend services, document preparation, hearing preparation and strategic case organisation.

Visit JSH Law

Regulatory & Editorial Notice: This article is published for general information and commentary only. It is not legal advice and should not be relied upon as a substitute for advice from a suitably qualified legal professional. References to the Bar Standards Board, reported cases, professional duties and external guidance are provided for public-interest discussion and educational purposes. JSH Law is not affiliated with the Bar Standards Board, the Bar Council or any chambers mentioned in related commentary.

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Mazur, AI, and the Future of Legal Support | JSH Law

April 3, 2026/0 Comments/in 6. Tools Templates Research & Cases, AI & Justice Reform/by jessica susan hill

The legal landscape is shifting in two powerful directions at once. On one hand, the High Court decision in Mazur v Charles Russell Speechlys LLP has reinforced the boundaries around who can legally conduct litigation. On the other, artificial intelligence is rapidly expanding what litigants in person are capable of achieving without formal representation. These developments are not in conflict—they are converging. Together, they are reshaping the future of legal support into something more structured, more transparent, and ultimately more empowering for those navigating the system themselves.

Mazur, AI, and the Future of Legal Support | JSH Law
Key Takeaways
  • Mazur reinforces that conduct of litigation must remain with authorised or exempt individuals.
  • AI does not replace the litigant — it enhances their ability to run their case.
  • The future of legal support lies in structured, transparent, tech-enabled models.
  • Litigants in person can become more capable, not more dependent.
  • The combination of AI and proper legal structure will redefine access to justice.

Mazur, AI, and the Future of Legal Support

The legal system is entering a period of change that is both structural and technological.

On one side, the High Court decision in Mazur v Charles Russell Speechlys LLP [2025] EWHC 2341 (KB) has reinforced the boundaries of who can legally conduct litigation. On the other, the rapid development of artificial intelligence is transforming how legal work is prepared, structured, and delivered.

At first glance, these developments may appear to be in tension.

One restricts who can carry out certain legal functions. The other expands who can access tools that were once limited to professionals.

In reality, they are moving in the same direction.

Towards a legal system where structure, transparency, and capability matter more than ever.

—

The Reinforcement of Legal Boundaries

The significance of Mazur lies not in creating new law, but in clarifying how existing law is to be applied.

The decision reinforces a simple but important principle:

The conduct of litigation is a reserved activity. It cannot be delegated simply through supervision or informal arrangements.

This draws a clear boundary around who can formally run a case.

For litigants in person, that boundary is not a barrier—it is a framework.

It confirms that the case is, and remains, theirs.

—

The Rise of AI in Legal Support

At the same time, artificial intelligence is rapidly changing how legal work is done.

Tasks that once required significant time and expertise can now be supported by systems that:

  • Analyse large volumes of documents
  • Structure arguments and chronologies
  • Assist with drafting and refinement
  • Identify gaps and inconsistencies

These tools are not theoretical.

They are already being used across the legal sector, from large firms to individual practitioners.

The question is not whether AI will play a role in legal support.

It is how that role is defined.

—

AI Does Not Conduct Litigation

This is where the alignment between Mazur and AI becomes clear.

AI does not “conduct litigation”.

It does not make decisions, take responsibility, or act on behalf of a party in a legal sense.

What it does is enhance capability.

It enables:

  • Better preparation
  • Clearer structure
  • More efficient organisation

Used properly, AI sits firmly within the category of support.

It strengthens the litigant’s ability to run their own case, rather than replacing them.

—

A Shift From Representation to Enablement

Traditionally, legal services have been built around representation.

A solicitor or barrister takes conduct of the case and acts on behalf of the client.

For many litigants in person, that model is not accessible.

What is emerging instead is a different model.

One based on enablement.

In this model:

  • The litigant remains in control
  • Support is provided to enhance capability
  • Technology is used to improve structure and clarity

This is not a second-tier alternative.

It is a distinct and increasingly important part of the legal ecosystem.

—

The Risk of Getting It Wrong

As with any shift, there are risks.

AI, if misunderstood, can create the same problems as poorly structured human support.

If it is used in a way that removes the litigant from decision-making, or creates a sense that the case is being “run externally”, then the underlying issue remains.

The tool itself is not the risk.

How it is used is what matters.

—

The Opportunity for Litigants in Person

For litigants in person, this moment presents a significant opportunity.

With the right approach, it is now possible to:

  • Prepare cases to a higher standard
  • Organise evidence more effectively
  • Present arguments with greater clarity

Without stepping outside the boundaries of the law.

This is not about replacing legal professionals.

It is about increasing the capability of those who are navigating the system themselves.

—

A More Structured Future

The combined effect of Mazur and AI is likely to lead to a more structured approach to legal support.

We can expect to see:

  • Clearer definitions of roles
  • More transparent support models
  • Greater emphasis on litigant control

At the same time, the tools available to litigants will continue to improve.

This creates a system that is both more disciplined and more accessible.

—

Where This Leaves Legal Professionals

For legal professionals, this shift is not a threat—it is a redefinition.

There will always be a need for authorised representation.

But alongside that, there is a growing space for:

  • Strategic support
  • Case structuring
  • Technology-enabled assistance

Those who understand this shift are likely to play a key role in shaping the future of legal services.

—

Final Thoughts

The legal system is not standing still.

Mazur reinforces the boundaries of who can formally conduct litigation.

AI expands the tools available to those who cannot access traditional representation.

Together, they point towards a future where:

Litigants in person are not left behind — but are better equipped, better supported, and more capable than ever before.

The key is structure.

Get that right, and both law and technology work in your favour.

—

Want to Use AI and Legal Strategy Properly in Your Case?

If you are a litigant in person and want structured, forward-thinking support that combines legal strategy with modern tools, you can book an initial consultation below.

—

Regulatory & Editorial Notice: JSH Law Ltd is not a firm of solicitors and does not provide regulated legal services. This article is for general information and commentary only and does not constitute legal advice. Any references to legal cases or third-party practices are provided for public interest analysis and educational purposes.

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The “Vibe Lawyer” Moment: AI, Litigants in Person, and the Coming Shockwave for the Family Courts

March 2, 2026/0 Comments/in 6. Tools Templates Research & Cases, AI & Justice Reform, AI & Legal Process/by jessica susan hill

Litigants in person are being called “vibe lawyers” for using AI to draft complaints and court documents. But behind the headlines lies a harder truth: people are turning to artificial intelligence because they cannot afford representation in an increasingly complex and overstretched justice system. Judges are right to be concerned about fake citations and procedural errors. Yet dismissing AI use outright misses the deeper issue — access to justice has been under strain for years, and technology is now filling the gap.

The “Vibe Lawyer” Moment: AI, Litigants in Person, and the Coming Shockwave for the Family Courts

By Jessica Susan Hill | JSH Law

Key Takeaways (Read This First)

  • AI is already changing litigation behaviour — the judiciary is explicitly preparing for a surge in AI-generated claims across civil, family and tribunals.
  • The risk isn’t “AI” — it’s unverified AI: fabricated authorities and confidently wrong submissions waste court time and damage credibility.
  • LiPs are not “wreaking havoc” for fun. Many are doing what they must to participate in a system they cannot afford to navigate with representation.
  • The solution is guardrails, not barriers: verification standards, procedural literacy, and responsible workflows that help the court as well as the litigant.
  • Family proceedings are high-stakes. Used properly, AI can improve clarity and evidence organisation; used badly, it can derail safeguarding analysis and case management.

1. Why this matters now

“Vibe lawyers” is a catchy label, but it risks obscuring a far more serious reality: litigants in person are using AI tools to draft complaints, defences, witness statements and skeleton arguments at scale — and the courts are already feeling the impact. The phenomenon is now so visible that Sir Geoffrey Vos (Master of the Rolls, Head of Civil Justice) has explicitly warned that the judiciary must prepare for an “AI revolution” that may vastly increase the number of civil, family and tribunal claims the justice system must manage. His speech is worth reading in full. :contentReference[oaicite:0]{index=0}

Let’s be direct: the justice system in England and Wales is already stretched. Many court users already experience the process as opaque, intimidating and unaffordable. That is not a personal failing of litigants — it is a structural reality. AI is entering a pressure-cooker and magnifying what was already there: information asymmetry, procedural complexity, delay and the gulf between a represented party and an unrepresented one.

So, yes — judges and practitioners are right to be concerned about inaccurate AI-generated material clogging lists and adding burden to judges who are already firefighting. But it is also true that, in the medium term, AI could become one of the most significant access-to-justice tools we have ever seen. Both truths can exist at once.

2. The judiciary is not guessing — it is responding to lived reality

We are past the point of theoretical debate. The judiciary has been issuing speeches and guidance precisely because AI use is now operationally relevant. Beyond speeches, the Judicial Office has published updated guidance addressing risks including confidentiality, bias and “hallucinations” — where AI produces plausible but incorrect information. The October 2025 judicial guidance explicitly flags the danger of fictitious citations and misleading legal content. :contentReference[oaicite:1]{index=1}

Sir Geoffrey Vos has also repeatedly articulated a simple “core rules” approach: understand what the tool is doing, do not upload private/confidential data into public tools, and check the output before using it for any purpose. He set that out again in October 2025. :contentReference[oaicite:2]{index=2}

This is not anti-technology. It is the judiciary doing what it should do: protecting the integrity of the process while acknowledging that new tools are changing behaviour.

3. The real problem: “confidently wrong” submissions

Generative AI tools can draft impressive text quickly. But they do not “know” the law. They predict language. That difference matters profoundly in litigation. A well-written paragraph that contains an invented case, a misquoted statute or an inaccurate procedural route is not merely unhelpful — it can actively undermine a party’s credibility and force the court to spend additional time cleaning up the mess.

The legal profession has already seen what happens when verification fails. In June 2025, the Divisional Court (Dame Victoria Sharp P and Johnson J) dealt with the now widely-reported “fake authorities” problem in Ayinde v London Borough of Haringey and Al-Haroun v Qatar National Bank, where false citations and inaccurate quotations were placed before the court, with suspected or admitted use of AI tools without proper checks. The judgment is publicly available and makes required reading for anyone tempted to treat AI output as “good enough”. :contentReference[oaicite:3]{index=3}

Importantly, that judgment is aimed at lawyers — because professionals are held to professional standards. But the underlying point applies to everyone: accuracy is non-negotiable in court work. You can be passionate, traumatised, exhausted, and still required to file documents that are factually and legally sound.

4. Why litigants in person are using AI (and why the “money pit” narrative is wrong)

Many litigants in person feel they are treated as an administrative inconvenience — or worse, as a “cost centre” rather than a rights-holder. I understand why that perception forms. The system can be brutal: forms, deadlines, practice directions, directions hearings, orders you must interpret and comply with under stress. In private law children proceedings, you may be trying to protect a child, manage safeguarding concerns, and preserve your own mental stability while preparing documents that lawyers train for years to produce.

For a growing number of people, AI has become the first accessible “translator” of legal language. It can explain terminology, propose a structure for a statement, generate headings for a skeleton argument, and help a person who feels overwhelmed take a first step. That is why it feels like a shake-up. It is not because LiPs are trying to harm the system. It is because they are trying to participate in it.

And here is the hard truth: if access to representation continues to shrink in practice — whether by cost, availability, or scope — more people will use AI. That is not something a press headline can reverse. It is a reality the system must incorporate.

5. Family court is the pressure point

Family proceedings are where AI misuse can become most dangerous, because the stakes are often immediate and human: the child’s living arrangements, contact, safeguarding, allegations of domestic abuse, coercive control, substance misuse, mental health, relocation, schooling — the list is endless.

Private law children cases are ultimately governed by the welfare principle in the Children Act 1989, section 1. The court’s job is not to reward the best writer. It is to determine what best meets the child’s welfare needs. But poor drafting can still distort the court’s understanding of what matters. :contentReference[oaicite:4]{index=4}

And family procedure is its own ecosystem. The Family Procedure Rules and associated Practice Directions are not optional reading; they are the architecture of how your case moves through the system. PD12J (domestic abuse and harm) is particularly critical where abuse is alleged, because it shapes fact-finding decisions, safeguarding analysis and protective measures. :contentReference[oaicite:5]{index=5}

Where AI is used badly in family court, I commonly see the same patterns (and judges see them too):

  • Misstating legal tests (e.g., confusing civil and criminal standards, or quoting the wrong threshold framework).
  • Over-inclusion: 30-page narratives where only a small percentage is evidentially relevant.
  • Inflammatory language that escalates conflict rather than centring the child.
  • Procedural fantasy: “applications” and “orders” that do not exist or are not procedurally available.
  • Fake authority: citations that sound real but are not verifiable.

Those problems do not just “waste time”. They can change outcomes. They can harden judicial perceptions. They can reduce a litigant’s credibility. And in safeguarding contexts, credibility matters.

6. But here is the opportunity: structured AI use can help the court

Now for the other side of the ledger, which the “vibe lawyer” framing often ignores.

Used properly, AI can reduce noise and increase clarity. It can help an overwhelmed litigant present their case in a way that judges can actually work with. It can support:

  • Chronology building (dates, events, orders, and key turning points).
  • Document organisation (indexes, exhibit lists, consistent naming).
  • Issue framing (what is the dispute actually about?).
  • Drafting clarity (headings, structure, neutral tone).
  • Summarising communications (WhatsApp/SMS/email) into court-usable bundles.

Those are not cosmetic benefits. They are directly aligned with what the court needs: efficient case management, focused evidence, and parties who can articulate relevant issues.

In other words: the best version of AI in litigation is not “AI replaces lawyers.” It is “AI helps people present usable material so the court can do its job.” That is the access-to-justice promise.

7. The non-negotiable: verification

The line between empowerment and chaos is verification.

Professional regulators have been clear that AI cannot be trusted to judge its own accuracy. The SRA has warned about hallucinations and the risk of plausible but incorrect outputs, including non-existent cases. :contentReference[oaicite:6]{index=6}

For court users, this translates into a simple operating standard:

  • If you cite it, you must be able to prove it exists (case name, neutral citation, and a reliable source).
  • If you quote a statute, check it on legislation.gov.uk (not in an AI chat box).
  • If you refer to rules or practice directions, check the official source (FPR/CPR/PD pages).
  • If it sounds “too perfect”, slow down — AI is very good at confidence, not always good at truth.

After the June 2025 “fake authorities” judgment, the direction of travel is obvious: courts will increasingly treat fabricated or careless citations as serious misconduct where professionals are involved, and as a significant credibility issue where litigants are involved. :contentReference[oaicite:7]{index=7}

8. A real-world cautionary tale: Mata v Avianca

Even outside the UK, courts have reacted strongly when lawyers filed AI-generated fake authorities. The widely-cited US case Mata v Avianca resulted in sanctions after fabricated case citations were submitted. It is not “UK law”, but it is a stark illustration of what happens when verification collapses. :contentReference[oaicite:8]{index=8}

Why mention it here? Because the underlying professional lesson travels: courts do not have time for invented law, and they should not have to spend scarce judicial time correcting avoidable errors.

9. What this means for litigants in person

What This Means for LiPs (Practical Guidance)

1) Use AI to organise, not to “source” law. AI is excellent for structure, headings, summaries, chronologies and drafting tone. It is unreliable as a sole source of legal authority.

2) Keep it child-focused (family cases). Remove insult, speculation and “character assassination”. Judges need facts, evidence, and impact on the child.

3) Treat every AI output as a draft. You are responsible for what you file. Read it. Edit it. Make sure it matches your evidence.

4) Verify every citation. If you cannot open the case or locate it on a reputable database, do not rely on it.

5) Don’t upload confidential material into public AI tools. Safeguarding details and private communications should be handled carefully. Follow the Judicial Office warnings on confidentiality. :contentReference[oaicite:9]{index=9}

6) Aim for shorter, clearer documents. Judges do not reward length. They reward relevance. A focused 6–10 pages often lands better than a sprawling 30.

7) If you’re stuck, get human oversight. A short consultation to sanity-check structure, compliance with directions, and relevance can prevent months of damage.

10. What this means for the justice system: guardrails, not barriers

If the system responds to AI by “closing ranks” and shaming litigants, it will fail. People will still use AI — but they will do so in worse, more chaotic ways. A better approach is to develop common standards that increase quality and reduce burden.

In practice, that means three things.

A) Judicial clarity

Courts and judiciary leadership can help by setting clear expectations about what is acceptable in written submissions — particularly around citation verification and disclosure of AI use where relevant. The Judicial Office guidance is already laying the foundation here. :contentReference[oaicite:10]{index=10}

B) Procedural literacy for court users

Most problems I see are not “bad people”. They are overwhelmed people. The system needs short, accessible, official pathways explaining (for example) what a directions hearing is, how to comply with an order, how to prepare a bundle, and how to draft a witness statement that is relevant rather than reactive.

C) Responsible support models

This is where the best “shake up” lies: hybrid support that uses AI to accelerate organisation and drafting, with human oversight to ensure compliance, accuracy, relevance and tone. That model benefits everyone: the litigant, the other party, and the court.

11. A note on professional standards (and why it still matters to LiPs)

When professionals file inaccurate material, the consequences can be severe, including regulatory referral. That was made explicit in the June 2025 judgment dealing with false citations. :contentReference[oaicite:11]{index=11}

LiPs are not held to the same professional code — but the practical consequences can still be harsh: credibility erosion, judicial impatience, adverse costs risks in some contexts, and (most importantly) a judge simply not trusting what they are reading. In family court, loss of credibility can be profoundly damaging.

This is why “AI literacy” is not an academic luxury. It is a procedural survival skill.

12. Conclusion: the future is responsible AI, not no AI

AI is in the courtroom ecosystem now. The judiciary is preparing for it. Regulators are warning about it. The profession is adapting to it. The question is not whether litigants in person will use AI — they already are.

The question is whether we will build a culture of responsible use.

Used recklessly, AI produces noise: invented authorities, misunderstood legal tests, and sprawling submissions that burden the court. Used properly, it can produce clarity: structured chronologies, coherent statements, and focused issues that help the court get to the real substance of the case.

If we care about access to justice, we cannot treat litigants in person as an administrative irritation. We should treat them as court users with rights and responsibilities — and we should equip them with tools and guardrails that allow them to participate meaningfully.

That is the “AI revolution” that matters: not chaos, but capability.


Useful Official Resources

  • Sir Geoffrey Vos (Master of the Rolls) speech: Justice for all, justice for the accused :contentReference[oaicite:12]{index=12}
  • Judicial Office: Artificial Intelligence (AI) – Judicial Guidance (Oct 2025) :contentReference[oaicite:13]{index=13}
  • Divisional Court judgment (false citations / AI misuse): Ayinde v Haringey & Al-Haroun v QNB (6 June 2025) :contentReference[oaicite:14]{index=14}
  • Law Society: Generative AI – the essentials :contentReference[oaicite:15]{index=15}
  • SRA (Risk Outlook): Use of artificial intelligence in the legal market :contentReference[oaicite:16]{index=16}
  • Family Procedure Rules: Official FPR site
  • Children Act 1989: legislation.gov.uk

If you want structured, responsible help using AI to prepare court documents (without risking accuracy or credibility), you can book a short consultation below:


Regulatory & Editorial Notice (JSH Law): This article is published for general information and public-interest commentary only. It does not constitute legal advice and should not be relied upon as such. Where this article refers to third-party sources (including court judgments, guidance, regulator publications, media reporting, or external organisations), those references are provided for context and convenience; JSH Law does not control or endorse third-party content and cannot guarantee its accuracy, completeness, or continued availability. Court users should always consult the original primary sources (including the Family Procedure Rules, Practice Directions, and judgments) and obtain appropriate professional advice for their specific circumstances.

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When Court Data Disappears: Why Transparency in Family Courts Matters More Than Ever

March 1, 2026/0 Comments/in 6. Tools Templates Research & Cases, AI & Justice Reform/by jessica susan hill

In February 2026, the Ministry of Justice ordered the removal of a major archive of court listing data, citing data protection concerns and alleged misuse involving AI. On the surface, it looked like a dispute about compliance. In reality, it raises a far more serious question: what happens when the justice system becomes less visible? For families navigating private law disputes, safeguarding allegations and prolonged delay, transparency is not a political slogan — it is the difference between understanding how the system works and feeling powerless within it.

Key points (read this first)

  • “Open justice” is not a vibe. It is a constitutional principle: the public must be able to see justice being done — in practice, not just in theory.
  • The Courtsdesk database mattered because it made magistrates’ court activity discoverable at scale — across regions, trends and time — in a way ordinary listings often do not.
  • The MoJ/HMCTS position has centred on data protection and alleged unauthorised sharing with an AI third party (including potentially sensitive identifiers). That is a serious issue — but it doesn’t automatically justify a “delete the archive” outcome.
  • There is now a live policy tension: privacy compliance vs public scrutiny. The correct answer is not to pick one. It is to design lawful access with safeguards.
  • AI changes the stakes. It can expose systemic court failures (delays, inconsistency, outcomes), but it can also amplify privacy harm if governance is weak.
  • What to watch next: licensing frameworks, official listing portals, retention/archiving rules, and whether any independent oversight is built into the “new” regime.

If you only have 60 seconds: the question isn’t “should court data exist?” — it’s “who controls access, under what rules, with what accountability?”

When Court Data Disappears: Courtsdesk, the MoJ Deletion Order, and What “Open Justice” Means in the AI Age

By Jessica Susan Hill | Legal Consultant & McKenzie Friend | JSH Law Ltd

In February 2026, a story surfaced that should make every lawyer, journalist and court-user sit up: the Ministry of Justice (via HMCTS) instructed a private platform, Courtsdesk, to delete what was widely described as the UK’s largest archive of court reporting data. The dispute was framed as a data protection breach involving AI. Critics called it a major blow to open justice.

This isn’t a niche media row. It’s a governance problem with a constitutional wrapper. Because once court information becomes searchable at scale, it becomes auditable. And once the system becomes auditable, it becomes accountable.

1) What happened — and why the link you saw may have “stopped working”

If you clicked a share link to a paywalled newspaper, you’ll often get a broken experience (or a login wall). But the underlying issue is very real: in early-to-mid February 2026, multiple sources reported that the MoJ/HMCTS instructed Courtsdesk to remove court listing/archival data from its platform. The matter was then debated in Parliament, with ministers stating that action was taken because of data protection concerns and alleged unauthorised sharing with an AI company.

In the House of Commons debate on 10 February 2026, the government position was put bluntly: HMCTS stopped sharing data and instructed the company to remove data from its digital platform because the government considered personal data had been put at risk and/or shared in breach of agreement. (Hansard: “Court Reporting Data”). Read the Commons debate (Hansard).

The House of Lords revisited similar themes on 11 February 2026, referencing alleged sharing of “private, personal and legally sensitive information” with a third-party AI company, including potentially addresses and dates of birth of defendants and victims. Read the Lords debate (Hansard).

Meanwhile, journalist bodies and open justice advocates argued that the deletion demand would reduce practical visibility of magistrates’ courts — the engine room of criminal justice — and undermine reporting capacity nationwide. NUJ response (11 Feb 2026).

Subsequent coverage indicated that the government later paused the deletion/purge approach and explored alternative licensing or arrangements, following significant public pressure and campaigning (including within national media). One example: The Times: MoJ halts purge of court archive (published Feb 2026). (Paywalled, but relevant for context and sequence.)

2) What is Courtsdesk — and why journalists cared

Courtsdesk is typically described as a platform that made it easier for journalists to discover and track magistrates’ court hearings — and to keep a searchable archive of what had been listed. The word “archive” matters. Without it, reporting becomes a daily scramble: you can see “today’s” list (sometimes), but you cannot easily analyse what happened across a month, a year, or a decade, and you cannot robustly check what patterns repeat across courts.

That changes the reporting model. Instead of “we got a tip and attended a hearing”, journalists can ask structured questions like:

  • Which courts are repeatedly listing the same offence type and outcome?
  • Are there geographical disparities in sentencing outcomes (controlling for offence and prior record)?
  • Is a particular safeguarding issue rising (domestic abuse, coercive control, breaches, stalking)?
  • Are certain hearings routinely not listed, listed late, or listed inaccurately?
  • Are “open” hearings being effectively closed by practical invisibility?

In short: a discoverable, searchable dataset turns open justice into something measurable. That is precisely why both open justice advocates and public interest reporters reacted so strongly.

For a short overview of the controversy as reported at the time: Legal Cheek (11 Feb 2026). For a more analytical legal-media perspective: Wiggin LLP commentary (16 Feb 2026).

3) The MoJ/HMCTS case: “data protection” and alleged sharing with AI

The government’s public position, as reflected in parliamentary statements, has been that data protection responsibilities were engaged. The allegation was not merely that the data existed, but that data was used or shared in a way that was not authorised by the relevant agreement — and that the information at issue could include sensitive personal identifiers.

In the Commons debate, MPs referenced the passing of information to an AI company, including addresses and dates of birth. You can read the relevant passages directly in Hansard: Court Reporting Data (Commons, 10 Feb 2026). The Lords debate similarly framed the core concern as sharing private/personal legally sensitive information with a third-party AI company: Court Reporting Data (Lords, 11 Feb 2026).

Let’s be clear: if victim or defendant identifiers were exposed or processed without a lawful basis, proper security, or appropriate contractual control, that is not a minor technicality. UK GDPR compliance is not optional — particularly where data could create direct risk (victim location, stalking risk, retaliation, intimidation, vigilante harm).

But there is a second question — and this is where policy and constitutional principles collide: even if a breach occurred, does the proportionate remedy have to be “delete the archive”? Or is the correct remedy:

  • Stop the unauthorised processing,
  • Investigate,
  • Implement governance, redaction, licensing and audit controls,
  • And preserve the public-interest value of the dataset?

In other regulated sectors, “burn the library” is rarely considered an intelligent response to a governance failure. You fix governance. You don’t erase institutional memory.

4) What “open justice” actually requires (and what it doesn’t)

“Open justice” is often described as a constitutional principle in common law: justice must be administered in public, with reporting permitted, because scrutiny is a safeguard against arbitrariness and abuse. It supports legitimacy and public confidence.

But open justice is not absolute. Courts can restrict reporting, anonymise parties, hold parts of hearings in private, or impose reporting restrictions where necessary and proportionate — especially to protect children, victims, national security, or the integrity of proceedings.

Here’s the practical point: open justice collapses when information is technically “available” but realistically undiscoverable. If court lists are incomplete, delayed, inaccurate, scattered, or accessible only through relationships and workarounds, then public scrutiny becomes selective and fragile.

A searchable archive changes the baseline. It doesn’t guarantee perfect scrutiny, but it makes scrutiny possible at scale.

The NUJ response captures the concern in direct terms: the state must take data protection seriously, but journalists are worried about the effect on their ability to do their job. NUJ: deletion order response.

5) The real issue: discoverability, not secrecy

Most people misunderstand how court reporting works. They think journalists can simply “look up” what is happening in court.

In practice, magistrates’ courts are high-volume. Hearings move. Lists change. Data may be published late, inconsistently, or in formats that are difficult to search. Court staff are under pressure. Press offices (where they exist) are stretched. The result is that what is formally “public” can become practically opaque.

So when people say “this undermines open justice,” they may not mean “the government is hiding a single case.” They mean: remove the infrastructure of discoverability and you reduce systemic scrutiny.

The wider concern is that once the system is not audited at scale, dysfunctional patterns persist:

  • Overlisting and adjournment churn;
  • Chronic delay;
  • Inconsistent listing practices;
  • Variable use of reporting restrictions;
  • Localised cultures that drift without challenge.

This is where AI becomes relevant — not as hype, but as a tool. AI is exceptionally good at extracting patterns from messy, fragmented data. And patterns are exactly what the justice system needs to be forced to confront.

6) AI: the uncomfortable accelerator of accountability

Here is the uncomfortable truth: AI makes “open justice” more powerful, because it can transform raw listings and outcomes into insight:

  • Where are outcomes diverging without explanation?
  • Which courts are systematically underperforming on timeliness?
  • Which offence types are rising or falling?
  • Do bail decisions correlate with geography in ways that look unjustified?
  • Are certain safeguarding concerns being deprioritised?

For the public, this can mean better scrutiny and informed reform. For institutions, it can feel like a loss of narrative control.

But AI also increases privacy risk. Aggregation is a form of power: data that is safe in one context can become dangerous in another when combined, enriched, or made searchable. That is why governance matters.

The question is not “AI or no AI.” It is: who is allowed to process court data with AI, under what licence, with what redaction, with what audit trail, and with what sanctions for misuse?

7) Data protection and open justice can coexist — if you design for both

If there was an unauthorised transfer of personal data to a third-party AI provider, that needs to be addressed. Strongly. But the correct fix is not necessarily deletion. The correct fix is a governance framework that takes seriously both:

  1. Lawful processing and security (UK GDPR; DPA 2018; contractual controls; access logs; DPIAs); and
  2. Open justice functions (discoverability; auditability; press access; public interest research).

A mature framework would include:

(A) Role-based access

Not everyone needs the same level of detail. A press-accredited journalist may need more than the general public. An academic researcher may need a structured dataset but not identifiers. A safety model is tiered access with clear rules.

(B) Default minimisation and redaction

Listings can be published in a way that is still meaningful but reduces harm: names may be necessary for open justice in many cases, but addresses and dates of birth generally aren’t. A “privacy by design” listing format is possible.

(C) Contractual control over processors

If AI tools are used, the relationship between controller and processor must be contractually controlled, audited, and limited. “Testing” is still processing. “Internal development” is still processing.

(D) Audit logs and sanctions

If a platform is given access to sensitive data, there must be a reliable audit trail and enforceable consequences for misuse.

This is the kind of approach the state should model. It’s what we demand of the private sector. The justice system should not be a governance laggard.

8) “Just use official channels” is not a sufficient answer

One argument raised in public discussion is that journalists can still access listings through official HMCTS channels, so the deletion of a private archive is not fatal.

Here’s the hard reality: official availability does not necessarily equal practical usability. The difference between:

  • a fragmented set of daily lists, and
  • a searchable, longitudinal archive

is the difference between “seeing a hearing” and “auditing a system”.

It’s the audit function that scares people — and it’s the audit function that reform needs.

For contemporaneous legal-sector analysis and a timeline-style overview, see: Wiggin LLP commentary.

9) The proportionality question: why “delete it” feels extreme

When government acts, it must act proportionately — especially when its actions collide with constitutional principles.

If the problem was a specific breach, a proportionate response normally looks like:

  • Stop the unlawful processing immediately;
  • Preserve evidence;
  • Investigate scope and impact;
  • Notify where legally required;
  • Fix governance;
  • Implement redaction and access controls;
  • Resume service under a compliant licence.

Deleting a historic archive can be justified in certain cases — for example, if the archive itself is irredeemably unsafe and cannot be lawfully held. But that is a high threshold. And if that threshold is met, the next question is: why was the data shared in that form in the first place, and why was it not already governed appropriately?

Open justice is a public asset. When you destroy an archive that underpins scrutiny, you don’t merely “solve” a compliance problem — you erase a public accountability mechanism.

10) What this means for litigants, victims and the public

This is not only about journalists. It touches:

Victims and vulnerable witnesses

Privacy matters. Safety matters. If addresses/DoBs are handled recklessly, it can cause real-world harm. A governance regime must centre safeguarding and risk. The state is right to be strict about that.

Defendants

Defendants have rights too. Public identification can be lawful and appropriate in open court, but bulk data aggregation can create long-tail harm (employment, housing, vigilantism), particularly where cases end in acquittal or discontinuance. This is why minimisation and careful retention rules matter.

The public

The public interest in open justice is not abstract. It includes the ability to scrutinise how domestic abuse is treated, how repeat offenders are sentenced, how grooming cases are prosecuted, and whether systemic failures are being ignored.

The debate is often framed as “privacy vs transparency.” A better framing is: “privacy and transparency with engineering-grade governance.”

11) A practical blueprint for a lawful court data ecosystem

If we want open justice that survives the AI era, we need to stop improvising and start designing. Here is a blueprint that would satisfy most of the legitimate concerns on all sides:

  1. Define a canonical “public listing dataset” with minimised fields (no addresses; no full DoB; protect victims by default where appropriate).
  2. Publish in a consistent, machine-readable format so that “discoverability” is not dependent on private scraping or informal relationships.
  3. Implement a press and research licence with tiered access, clear contractual controls, audit logs, and enforcement.
  4. Create a secure research environment (think “data safe haven”) where higher-sensitivity data can be used for public-interest research under supervision.
  5. Mandate DPIAs for any new processing at scale, including any AI model training or automated analytics.
  6. Independent oversight: an external advisory panel including press, victims’ advocates, privacy experts and court users.

If you work in legal ops, you’ll recognise this: it is the same control architecture we use for health data, financial data, and regulated client data. The justice system deserves no less.

12) What you can do if you care about this

  • Read the parliamentary record and compare the stated rationale with the real-world impact: Commons Hansard (10 Feb 2026) and Lords Hansard (11 Feb 2026).
  • Track journalist-body positions (NUJ is a good start): NUJ statement.
  • Ask the right question of policymakers: “What is the new lawful access model — and who is responsible for ensuring discoverability in practice?”
  • Watch for licensing/market engagement notices and consultation opportunities. (Legal commentary sites often summarise these quickly.)
  • If you are a court user or practitioner, keep records. Transparency is partly built from bottom-up documentation — hearing notices, listings, orders, reasons, and procedural history.

Because here is the punchline: if the system cannot be seen, it cannot be improved. And if it cannot be improved, it cannot be trusted.

Sources and further reading

  • UK Parliament (Hansard) — Commons debate, 10 Feb 2026: Court Reporting Data
  • UK Parliament (Hansard) — Lords debate, 11 Feb 2026: Court Reporting Data
  • National Union of Journalists (NUJ), 11 Feb 2026: NUJ responds to deletion order
  • Wiggin LLP commentary, 16 Feb 2026: Open Justice: MoJ closes court reporting archive
  • Legal Cheek, 11 Feb 2026: MoJ orders deletion of court reporting database
  • The Times (paywalled), Feb 2026: MoJ halts purge of court archive

Regulatory & Editorial Notice (JSH Law Ltd)

This article is published for general information and public-interest commentary only. It does not constitute legal advice and should not be relied upon as such. JSH Law Ltd is not a firm of solicitors and does not provide regulated legal services. If you require legal advice, you should consult a suitably qualified and regulated legal professional.

Where this article refers to third-party reporting, parliamentary materials, organisations, or public cases, it does so for journalistic, educational, and research purposes. External links are provided for reader convenience; JSH Law Ltd is not responsible for the content of external sites.

© JSH Law Ltd | Company No. 16870438 | Manchester (UK) & Kansas (USA)

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The Use of AI in Preparing Court Documents: Why the Civil Justice Council Consultation Matters

February 18, 2026/0 Comments/in 2. Family Court Procedure, 6. Tools Templates Research & Cases, AI & Legal Process, Procedural Updates/by jessica susan hill

The Civil Justice Council has launched an eight-week consultation examining whether new rules are needed to regulate the use of artificial intelligence in preparing court documents. Chaired by Lord Justice Birss, the Working Group is considering whether safeguards or formal declarations should apply when legal representatives use AI to draft pleadings, witness statements and expert reports. The consultation recognises both the efficiency benefits of AI and the risks of hallucinated case citations, fabricated authorities and evidential integrity concerns. Particular focus is placed on witness statements and expert evidence, where authenticity is central to the administration of justice. The consultation closes on 14 April 2026. This article explains what is being proposed, why it matters for litigants in person and legal professionals, and how responsible AI use can strengthen — rather than undermine — credibility in court proceedings. PDF here.

The Use of AI in Preparing Court Documents: Why the Civil Justice Council Consultation Matters

Category: AI & Law / Procedural Updates  |  Audience: Litigants in Person & Legal Professionals (England & Wales)

Key takeaways for litigants in person

  • The Civil Justice Council (CJC) is consulting on whether rules should govern the use of AI in preparing court documents.
  • The consultation closes on 14 April 2026.
  • Proposals include possible declarations where AI has been used to generate substantive content.
  • Administrative uses (spell-check, transcription, formatting) are unlikely to require disclosure.
  • Witness statements and expert reports are likely to face stricter safeguards.

What Is This Consultation About?

The Civil Justice Council (CJC) has published an Interim Report and opened an eight-week consultation examining whether procedural rules are needed to regulate the use of artificial intelligence in preparing court documents.

The Working Group is chaired by Lord Justice Birss and includes members of the judiciary, the Bar Council, the Law Society and academic representatives.

The core question is simple but significant:

Should formal rules govern how legal representatives use AI when preparing pleadings, witness statements, skeleton arguments and expert reports?

The consultation paper explains that AI has enormous potential benefits — but also significant risks, particularly around hallucinated case citations, fabricated material and evidential integrity.

Why This Matters

AI is already being used across the legal sector for:

  • Legal research
  • Drafting pleadings
  • Preparing skeleton arguments
  • Summarising disclosure
  • Drafting witness statements
  • Generating expert reports

The consultation recognises that while AI improves efficiency and access to justice, it also introduces risks including:

  • Hallucinated case citations
  • Invented legal authorities
  • Embedded bias in generated content
  • Deepfake or manipulated evidence
  • Hidden metadata (“white text”) manipulation

The administration of justice depends on reliability. If courts cannot trust documents filed before them, confidence in the system erodes.

What the Working Group Proposes

The consultation distinguishes between:

  • Administrative uses (spell-check, formatting, transcription, accessibility tools)
  • Substantive generative uses (AI drafting legal argument, evidence, or expert analysis)

The Working Group’s emerging position suggests:

  • No additional rule required for statements of case or skeleton arguments, provided a legal professional takes responsibility.
  • Stricter controls for witness statements, particularly trial statements.
  • Possible declarations confirming AI has not generated witness evidence.
  • Amendments to expert report statements of truth to require disclosure of AI use.

Witness Statements: The Most Sensitive Area

The report strongly indicates that generative AI should not be used to create or alter substantive witness evidence.

The concern is straightforward:

  • Witness statements must be in the witness’s own words.
  • AI “improving” phrasing may alter tone, emphasis or meaning.
  • Courts rely heavily on authenticity.

The Working Group proposes a declaration that AI has not been used to generate, embellish or rephrase evidence in trial witness statements.

That is significant. It signals that evidential integrity is where regulation will likely concentrate.

Expert Reports: Transparency Rather Than Prohibition

Unlike witness statements, expert reports may legitimately use AI tools for:

  • Data analysis
  • Document extraction
  • Technical modelling

However, the consultation proposes that experts should disclose and explain any AI use beyond administrative functions.

The aim is transparency — not prohibition.

What About Litigants in Person?

Notably, this consultation does not focus on regulating litigants in person.

The paper recognises that many unrepresented parties may rely on AI as their only accessible form of legal assistance.

That presents a policy tension:

  • AI can improve access to justice.
  • But AI can generate inaccuracies.
  • Litigants may lack the expertise to verify output.

Any regulation must therefore balance fairness with accessibility.

Should There Be Mandatory AI Declarations?

International approaches vary. Some US courts require certification of AI use. Others do not.

The Working Group is cautious. It recognises that:

  • AI is rapidly integrating into legal software.
  • It may soon be impossible to distinguish “AI use”.
  • Over-regulation may increase delay and satellite litigation.

The likely direction appears to be:

  • No blanket declaration for routine drafting.
  • Targeted safeguards for evidence.
  • Clear professional responsibility.

Why This Consultation Is Forward-Looking

AI is not going away. The question is not whether it will be used — but how responsibly.

The consultation reflects a mature approach:

  • Encourage innovation.
  • Protect evidential integrity.
  • Preserve public confidence.
  • Avoid stifling access to justice.

That balance is critical.

How to Respond to the Consultation

The consultation closes on 14 April 2026.

Responses can be submitted by completing the consultation cover sheet and sending it to:

CJC.AI.consultation@judiciary.uk

Questions about the process can be directed to:

CJC@judiciary.uk

Responses may be submitted in Word or PDF format.

What This Means Practically

If you are preparing court documents using AI:

  • Verify all case citations manually.
  • Check statutory references independently.
  • Do not use AI to generate witness evidence.
  • Retain responsibility for every word filed.

AI is a tool. It is not a shield.

A Realistic Perspective

Used responsibly, AI enhances efficiency. Used carelessly, it damages credibility.

The Civil Justice Council is not proposing a ban. It is seeking proportionate governance.

That distinction matters.


Book a 15-minute consultation (phone)

If you are navigating litigation and considering using AI tools, or if you are concerned about AI-generated material in your case, you can book a 15-minute consultation below:

Technology should strengthen your case — not undermine it.


Regulatory & Editorial Notice

This article provides general commentary only and does not constitute legal advice. JSH Law provides litigation support services to litigants in person and does not conduct reserved legal activities. References to consultation materials are for informational purposes only.

You can download the pdf here : Interim-Report-and-Consultation-Use-of-AI-for-Preparing-Court-Documents-2.pdf

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Access to Justice Will Not Improve Until Litigants in Person Are Treated as First-Class Legal Tech Users

February 6, 2026/0 Comments/in 6. Tools Templates Research & Cases, AI & Legal Process/by jessica susan hill

Access to Justice Will Not Improve Until Litigants in Person Are Treated as First-Class Legal Tech Users

Why courts, regulators, and legal-tech designers must stop building only for lawyers

“Access to justice” is one of the most repeated phrases in modern legal reform — and one of the least honestly examined in day-to-day court reality.

Across England and Wales, litigants in person (LiPs) now make up a significant proportion of users in family proceedings, civil disputes, tribunals and administrative processes. Yet much of the system — and much of legal tech — still assumes that a lawyer is the default user, and the unrepresented party is the exception.

They are not.

LiPs are a structural feature of the justice landscape. Until courts, regulators, and legal-tech providers explicitly recognise LiPs as first-class stakeholders, “access to justice” will remain aspirational rather than operational.

Key takeaways

  • Litigants in person are not marginal — they are central to how courts now function.
  • Legal tech designed only for lawyers often creates disadvantage for LiPs.
  • Courts can reduce chaos by setting clearer procedural standards and roadmaps.
  • Regulators can unlock innovation by clarifying the line between navigation support and legal advice.
  • Human-centred tools can improve compliance, fairness and efficiency without replacing lawyers.

1. The post-LASPO reality: LiPs are the system, not a problem within it

In a post-LASPO environment, it is common for one or both parties to be unrepresented. That reality increases pressure on judges, listing, court staff, and the opposing party (who may be represented). It also increases the risk of:

  • missed deadlines and procedural missteps
  • overlong or irrelevant bundles
  • adjournments and delay
  • hearings spent explaining process rather than determining issues
  • avoidable unfairness

These are not personal failings. They are predictable outcomes when systems are built around assumptions that no longer match real users.

2. Why most legal-tech tools fail litigants in person

Many tools that work well for professionals become actively unhelpful when applied to LiPs without redesign. Legal platforms typically assume users can:

  • interpret procedural stages and sequencing
  • identify which evidence is relevant (and why)
  • understand directions, service rules, and deadlines
  • use legal terminology accurately
  • separate emotion from issues and evidence

LiPs often cannot do those things consistently — not because they lack intelligence, but because the system is not taught, and the learning curve is steep under stress.

What this looks like in practice

When LiPs are unsupported, courts see repeat patterns: missed deadlines, misfiled documents, sprawling narratives, under-evidenced allegations, and confusion about what the court is deciding at each stage. These patterns are not random — they are design signals.

3. What courts must do: procedural clarity (not paternalism)

Courts are not powerless. A high-LiP environment requires courts to treat process design as part of justice delivery.

At minimum, courts should publish LiP-aware standards that clearly define:

  • core document types (e.g., chronology, statement, position statement, schedule of allegations/concerns where relevant)
  • what is needed at each stage (first hearing, directions, fact-finding, final hearing)
  • proportionality expectations for evidence and bundles
  • how to comply with directions and what happens if parties do not

Judges often explain process in court. The problem is inconsistency, stress, and the lack of a repeatable structure. Written roadmaps and standardised expectations reduce friction for everyone.

4. The regulator’s role: legitimising navigation tools without fear

One of the biggest barriers to LiP-focused legal tech is regulatory uncertainty. Developers and support services are often risk-averse because they fear crossing into “legal advice”.

Regulators can unlock responsible innovation by drawing a clearer line between:

  • procedural navigation (what the process is, what documents are, how to organise information, how to comply with directions), and
  • legal advice (what someone should do legally, the merits of their case, or how the court is likely to decide).

Navigation support vs legal advice (simple framework)

Usually safe procedural supportUsually crosses into legal advice
Process Explaining stages (e.g., directions → fact-finding → final hearing)
Compliance Helping track deadlines and service requirements
Organisation Structuring a chronology, index, exhibits, bundle sections
Plain English Translating court orders into clear tasks
Merits Advising whether someone should apply/oppose
Strategy Recommending what to plead or concede
Outcomes Predicting likely judicial findings/results
Representation Acting as if solicitor-client duties exist

5. What “LiP-first” legal tech actually looks like

LiP-centred legal tech does not have to be “AI giving legal advice”. The biggest gains come from tools that help people:

  • understand where they are in the process
  • know what is expected next
  • organise information coherently
  • comply with directions and deadlines
  • present evidence in proportionate, readable form

Simple flow diagram: How LiP-first tools reduce friction

Courts publish clear standardsDocument types, stage-by-stage roadmaps, proportionality, bundle structure.

→

Regulators clarify boundariesNavigation/compliance tools are legitimised; “legal advice” line is explicit.

→

Legal tech designs to the standardGuided workflows: timelines, bundles, checklists, deadlines, plain-English orders.

→

LiPs comply more easilyBetter documents, fewer adjournments, clearer issues, fairer hearings.

This is not about replacing lawyers. It’s about reducing avoidable failure points and making procedure intelligible.

6. Why co-design matters: building with, not for, litigants

The most credible way to improve tools for LiPs is co-design: courts, regulators, practitioners, support services, and litigants all informing the build. Without LiPs at the table, products will keep optimising for the wrong user — and courts will keep absorbing the cost.

7. The cost of doing nothing

When systems ignore their dominant user group, the impact is predictable:

  • longer hearings and heavier judicial case management
  • more procedural unfairness and inconsistent outcomes
  • greater emotional and financial harm (especially in family cases)
  • higher public cost through delay and repeat applications

LiP-first design is not only a fairness issue — it is a system efficiency issue.

8. A realistic path forward

Access to justice improves when:

  1. Courts set clear procedural standards and publish roadmaps designed for LiP reality.
  2. Regulators legitimise navigation and compliance tools, and make boundaries explicit.
  3. Legal-tech teams design for human understanding, not just professional efficiency.
  4. LiPs are treated as stakeholders in system design, not problems to be managed.

Call to action

If you are a litigant in person struggling with process — or you work in legal tech, policy, or court-facing innovation — this is a space where practical collaboration matters.

JSH Law works at the intersection of family justice, legal process, and responsible AI-assisted navigation, with a focus on making systems intelligible for real people (not just professionals).

  • Need help structuring a chronology, bundle, or evidence set?
  • Building LiP-centred tools and want practitioner input?
  • Want a repeatable workflow that improves compliance and reduces stress?

Get in touch via the contact page

Regulatory & Editorial Notice (JSH Law)
This article is published for general information and public legal education. It is not legal advice and should not be relied upon as such. Laws, procedural rules, guidance and practice may change. Where this article refers to third-party materials, organisations, or public-interest issues, those references are informational and do not imply endorsement. If you need advice on your specific circumstances, you should obtain independent legal advice from a regulated professional or appropriate support service.

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Permission Refused? Using AI to decide what to do next — and when to stop

February 6, 2026/0 Comments/in 6. Tools Templates Research & Cases, AI & Legal Process, Judicial Review & AI/by jessica susan hill

Judicial Review & AI – Part 8 (Final)


Introduction: the hardest moment in Judicial Review

For many litigants in person, this is the moment that hurts the most.

You have:

  • identified a procedural failure,
  • organised your evidence,
  • complied with the Pre-Action Protocol,
  • issued proceedings,
  • met deadlines,
  • followed the rules.

And then the letter arrives.

Permission refused.

Often with:

  • short reasons,
  • no hearing,
  • and no sense of closure.

At this point, the most important skill is judgment — not persistence.

This final article explains:

  • what a refusal of permission actually means,
  • what realistic options exist next,
  • how AI can help you make rational decisions, not emotional ones,
  • and how to recognise when stopping is the strongest legal move.

What a refusal of permission really means (legally)

At the permission stage, the Administrative Court is not saying:

“You are wrong.”

It is saying:

“This is not a case the High Court should hear.”

That distinction matters.

Permission may be refused because:

  • the claim is not arguable,
  • an alternative remedy exists,
  • the issue is not suitable for Judicial Review,
  • delay is fatal,
  • the grounds are merits-based,
  • or the case is disproportionate.

Some refusals are about substance.
Many are about jurisdiction and restraint.

Understanding which matters.


The court’s institutional position on stopping JR claims

The High Court is deeply conscious of:

  • finality,
  • judicial economy,
  • and the danger of endless litigation.

This is why:

  • permission is filtered on the papers,
  • oral renewals are tightly controlled,
  • repeated applications are discouraged.

Judicial Review is not designed to be:

  • iterative,
  • escalatory,
  • or relentless.

It is designed to be exceptional.


The three lawful options after permission is refused

After refusal, litigants in person usually face three choices:

  1. Seek an oral renewal
  2. Reframe or abandon the JR
  3. Stop — and redirect energy elsewhere

AI can help you evaluate each — but cannot make the decision for you.


Option 1: Oral renewal — when is it justified?

You may request an oral renewal hearing if permission is refused on the papers.

This is not a second bite at the cherry in the ordinary sense.

The court will only engage if:

  • there is a clear error in the refusal reasoning,
  • something material was misunderstood,
  • or the issue was not adequately addressed on the papers.

Oral renewals are not an opportunity to:

  • restate arguments,
  • add new evidence (without permission),
  • re-argue the merits.

How AI helps evaluate oral renewal prospects

AI can assist by:

  • analysing the refusal reasons,
  • comparing them to your grounds,
  • identifying whether the judge addressed the correct issue,
  • flagging whether the refusal turns on:
    • jurisdiction,
    • alternative remedy,
    • or merits drift.

If the refusal is:

  • clearly jurisdictional,
  • clearly about suitability,
  • or clearly about restraint,

an oral renewal is usually not worth pursuing.

AI helps remove hope-based decision-making.


Option 2: Reframing — when JR was the wrong tool

Sometimes permission is refused because:

  • the legal issue exists,
  • but Judicial Review was the wrong vehicle.

Common examples:

  • the issue belongs in an appeal,
  • a complaint route exists,
  • another statutory remedy is available,
  • the problem is systemic but non-justiciable.

This does not mean:

  • you imagined the problem,
  • or the process was flawless.

It means the High Court is not the forum.


How AI helps here

AI can help you:

  • map refusal reasons against alternative routes,
  • identify whether:
    • an appeal can still be pursued,
    • a renewed application is possible,
    • or a non-litigious route exists.

This is strategic redirection, not surrender.


Option 3: Stopping — why this is often the strongest move

Stopping is not failure.

In fact, one of the marks of legal maturity is knowing when a remedy is exhausted.

Continuing after:

  • a clear jurisdictional refusal,
  • no procedural error in the refusal,
  • and no viable alternative framing

often leads to:

  • wasted resources,
  • escalating stress,
  • and reputational damage.

Courts do notice persistence without discipline.


The ethical dimension: AI should reduce harm, not fuel obsession

This is where Law + AI intersects with ethics.

AI can:

  • generate arguments endlessly,
  • suggest variations,
  • keep litigation alive indefinitely.

That does not mean it should.

Responsible AI use means:

  • stopping when law stops,
  • resisting sunk-cost fallacy,
  • recognising diminishing returns.

You are still responsible for decisions.

AI should support clarity, not compulsion.


Common emotional traps after permission refusal

Litigants in person often fall into predictable patterns:

  • “The judge didn’t understand — I just need to explain again.”
  • “If I phrase it differently, it will work.”
  • “Someone must eventually listen.”

These reactions are human — but legally dangerous.

Judicial Review is not persuasion-by-volume.

AI is most valuable when it interrupts emotional escalation, not amplifies it.


Using AI to perform a “JR exit review”

One of the most powerful uses of AI at this stage is a structured exit review.

Questions AI can help you answer:

  • What exactly was refused?
  • On what basis?
  • Is there any legal error in the refusal itself?
  • Is an oral renewal proportionate?
  • What alternative routes exist?
  • What are the costs (financial and emotional) of continuing?

This turns a painful moment into a controlled conclusion.


The reputational aspect litigants rarely consider

Courts are institutional actors.

Repeated:

  • unmeritorious renewals,
  • disproportionate applications,
  • or refusal to accept finality

can affect how future applications are perceived.

Stopping at the right moment preserves:

  • credibility,
  • energy,
  • and future options.

AI can help you see this before damage occurs.


The role of court administration after refusal

Once permission is refused, court interaction typically returns to:

  • administrative closure,
  • compliance with directions,
  • and finality processes operated under HMCTS.

At this stage, clarity matters more than persistence.


What success looks like at the end of a JR journey

Success is not always:

  • permission granted,
  • or a quashing order.

Sometimes success is:

  • forcing a decision via the PAP stage,
  • clarifying the legal position,
  • stopping an unlawful delay,
  • or confirming that JR is not the route.

That knowledge is not wasted.

It is hard-earned legal clarity.


Key Takeaways (for litigants in person)

  • Permission refusal is a jurisdictional decision, not a moral judgment.
  • Oral renewals are narrow and rarely succeed.
  • Reframing is sometimes appropriate; repeating usually is not.
  • Stopping at the right time is a mark of legal strength.
  • AI should be used to:
    • evaluate realistically,
    • reduce emotional escalation,
    • and support principled decisions.
  • Endless litigation is not access to justice.

Judicial Review is exceptional — and knowing when it ends is part of using it lawfully.


Closing the series: what this resource is for

This eight-part series was designed to:

  • demystify Judicial Review,
  • protect litigants in person from procedural harm,
  • show how AI can be used responsibly and ethically,
  • and restore control in situations that often feel powerless.

AI does not replace law.
Law does not bend to persistence.
But clarity — properly supported — restores agency.


Call to Action

If you are:

  • facing a permission refusal,
  • unsure whether to pursue an oral renewal,
  • or need help deciding whether to stop,

You may wish to seek structured, realistic support before taking any further step.


Regulatory & Editorial Notice (JSH Law)

This article is provided for general information only and does not constitute legal advice.

Judicial Review is discretionary, time-limited, and subject to strict procedural controls.
Permission refusal often represents the lawful end of the process.

Readers should seek independent legal advice where appropriate before pursuing further litigation.

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Managing Deadlines, Bundles, and Compliance with AI – Procedural discipline in Judicial Review (where cases are really lost)

February 6, 2026/0 Comments/in 6. Tools Templates Research & Cases, AI & Legal Process, Judicial Review & AI/by jessica susan hill

Judicial Review & AI – Part 7


Introduction: most Judicial Review cases fail quietly

When Judicial Review claims fail, it is rarely dramatic.

There is no cross-examination.
No damning judgment.
No public vindication or condemnation.

Instead, the claim simply:

  • times out,
  • breaches a rule,
  • fails to comply with a direction,
  • or collapses under procedural non-compliance.

For litigants in person, this is often devastating — not because the issue lacked merit, but because process defeated substance.

This article explains:

  • why procedural discipline is critical in Judicial Review,
  • how deadlines and compliance operate in practice,
  • how AI can be used to prevent procedural failure,
  • and how to avoid the common traps that quietly end claims.

Judicial Review is procedural law, not just public law

Judicial Review sits at the intersection of:

  • public law principles, and
  • strict civil procedure.

It is governed by:

  • CPR Part 54,
  • the Administrative Court Practice Directions,
  • and specific court directions once proceedings are issued.

The High Court expects near-perfect compliance.

Latitude for litigants in person exists — but it is limited.

Courts will not:

  • extend time automatically,
  • rewrite non-compliant documents,
  • excuse repeated procedural failures.

This is why AI, used properly, can be invaluable — not as a strategist, but as a discipline enforcer.


The three procedural pressure points in Judicial Review

Judicial Review claims typically fail at one of three procedural stages:

  1. Time limits
  2. Bundles
  3. Compliance with directions

Each is unforgiving.
Each is manageable — with the right systems.


1. Time limits: the guillotine that does not move

Judicial Review claims must be brought:

  • promptly, and
  • in any event within three months of the decision or failure challenged.

This is not flexible.

Even a strong claim can be refused solely for delay.

Courts repeatedly emphasise this because:

  • delay undermines legal certainty,
  • public bodies must be able to rely on decisions.

Litigants in person often underestimate how quickly time runs — especially where silence or inaction is involved.


Where AI helps with time limits

AI can assist by:

  • calculating elapsed time from key dates,
  • flagging approaching deadlines,
  • distinguishing between:
    • continuing failures, and
    • single decisions with ongoing effects.

However, AI cannot decide when time starts to run.

You must determine:

  • the operative date,
  • whether there is a continuing duty,
  • whether delay is justifiable.

AI helps you see — it does not excuse lateness.


2. Bundles: why presentation equals credibility

Judicial Review is decided largely on the papers.

Judges expect:

  • clean,
  • paginated,
  • indexed bundles,
  • with only relevant material included.

A poor bundle signals:

  • lack of focus,
  • lack of seriousness,
  • lack of procedural understanding.

This affects outcomes — even subconsciously.


What courts expect from JR bundles

A compliant bundle typically includes:

  • the claim form,
  • statement of facts and grounds,
  • evidence (exhibits),
  • relevant correspondence,
  • any court directions.

It must be:

  • logically ordered,
  • consistently paginated,
  • clearly indexed.

Courts will not tolerate:

  • sprawling appendices,
  • duplicated documents,
  • emotional exhibits,
  • unexplained screenshots.

How AI helps with bundles (and where it must stop)

AI is excellent at:

  • ordering documents,
  • checking pagination consistency,
  • generating draft indices,
  • identifying duplicates.

AI must not:

  • decide what is legally relevant,
  • exclude documents without review,
  • alter originals.

Think of AI as your bundle manager, not your legal editor.


3. Compliance with directions: the silent killer

Once proceedings are issued, the court will issue directions.

These may include:

  • deadlines for acknowledgements of service,
  • limits on evidence,
  • formatting requirements,
  • page limits.

Failure to comply is taken seriously.

Courts expect:

  • directions to be read carefully,
  • complied with precisely,
  • or varied formally if impossible.

“I didn’t understand” is rarely enough.


Where AI adds value here

AI can:

  • summarise court directions,
  • convert them into task lists,
  • flag inconsistencies,
  • track compliance status.

This is one of the safest and most valuable uses of AI.

What AI must not do:

  • interpret directions creatively,
  • assume flexibility,
  • replace careful reading.

The role of court administration and compliance reality

Judicial Review cases often involve interaction with court systems operated under HMCTS.

This adds complexity:

  • electronic filing systems,
  • automated acknowledgements,
  • varying administrative practices.

AI can help track:

  • what has been submitted,
  • what has been acknowledged,
  • what remains outstanding.

But responsibility remains yours.


Common procedural failures litigants in person make

Judicial Review claims often fail because:

  • documents are filed late,
  • bundles exceed page limits,
  • directions are misunderstood,
  • amendments are made without permission,
  • informal correspondence replaces formal steps.

These failures are rarely cured.

AI helps by enforcing checklists, not by improvising.


Procedural discipline vs flexibility: the court’s view

Courts balance:

  • access to justice,
  • against fairness to public bodies,
  • and efficient use of court resources.

Litigants in person are not expected to be perfect — but they are expected to be organised and serious.

Repeated non-compliance erodes goodwill rapidly.

AI, used properly, helps demonstrate:

  • respect for the process,
  • reliability,
  • proportionality.

Using AI as a procedural “second pair of eyes”

One of the best uses of AI is review, not drafting.

Examples:

  • “Have I complied with every direction?”
  • “Are there any inconsistencies in dates or pagination?”
  • “Is anything missing that the court expects?”

AI excels at spotting patterns and omissions.

It should be used before, not after, filing.


What AI must never be used to do procedurally

AI must not:

  • decide to ignore directions,
  • guess court expectations,
  • file documents autonomously,
  • substitute legal judgment.

Courts expect human responsibility.

AI is invisible to them — your compliance is not.


Key Takeaways (for litigants in person)

  • Judicial Review claims often fail on procedure, not law.
  • Time limits are unforgiving.
  • Bundles signal credibility.
  • Directions must be complied with precisely.
  • AI is most useful as a:
    • deadline tracker,
    • bundle organiser,
    • compliance checker.
  • AI does not excuse lateness or non-compliance.

Procedural discipline is not optional — it is the case.


Preparing for the final stage

After permission decisions, litigants face:

  • permission refusal,
  • conditional grants,
  • or limited permission.

The final article in this series addresses:

  • how to respond rationally,
  • how to assess next steps,
  • and how AI can help avoid throwing good money after bad.

Call to Action

If you are:

  • struggling to manage Judicial Review deadlines,
  • concerned about bundle compliance,
  • or unsure how to interpret court directions,

You may wish to seek structured support before procedural errors become irreversible.


Regulatory & Editorial Notice (JSH Law)

This article is provided for general information only and does not constitute legal advice.

Judicial Review proceedings are governed by strict procedural rules and judicial discretion.
Failure to comply with time limits, directions, or bundle requirements may result in refusal of permission or dismissal of the claim.

Readers should obtain independent legal advice where appropriate.

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How I Can Help

I provide independent, procedural family court support for litigants in person and professionals navigating complex or high-conflict cases.

My work focuses on:

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– Support alongside solicitors, counsel, or directly with litigants in person

Support is provided remotely, on an hourly basis, with clear boundaries and no false promises.

This is about structure, preparation, and informed decision-making.


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About the Author

About the Author

Jessica Susan Hill

McKenzie Friend · Family Court Support

I support litigants in person and professionals in complex private children and
safeguarding-related family court proceedings
.

My work is procedural, strategic, and evidence-focused — helping clients understand process,
prepare properly, and present their case clearly and coherently.

I regularly work alongside solicitors and counsel, or directly with litigants in person,
providing structured support in cases where clarity, preparation, and proportionality matter.

This site exists to reduce confusion, not create false hope.


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If you’re new to family court or feeling overwhelmed, begin with these guides:

  • Before You Apply to Court
  • Understanding Cafcass and Section 7 Reports
  • Safeguarding, Domestic Abuse, and Risk Framing
  • Preparing Your Evidence, Chronology, and Statements
  • Common Mistakes Litigants in Person Make

Practical, procedural guidance — written for real cases, not theory.

Categories

Family Court Procedure
Litigants in Person Guidance

Cafcass & Reports

Safeguarding & Domestic Abuse

Case Studies (Anonymised)

Family Court Accountability

AI & Legal Process

Free Resource

Family Court Preparation Checklist (PDF)

A practical, procedural checklist covering:

  • what to organise before issuing or responding
  • evidence and chronology basics
  • common preparation mistakes to avoid


→ Download Free Checklist

Procedural guidance only · Not legal advice

Authorities Used

– Family Procedure Rules 2010, SI 2010/2955 (U.K.), rr. 1.1, 1.3, pts. 3, 6, 17, 22, 25, 9.
– Practice Direction 3A (MIAM).
– Practice Direction 12B (Child Arrangements Programme).
– Practice Direction 12J (Domestic Abuse and Harm).
– Practice Direction 22A (Evidence).
– Practice Direction 27A (Court Bundles).
– Children Act 1989, c. 41 (U.K.)

Related Reading

You may also find these articles helpful:

  • Understanding Cafcass Reports and Common Errors
  • How Evidence Is Weighed in Family Court
  • Safeguarding Allegations and Risk Assessment
  • Preparing a Chronology the Court Can Follow

Articles are grouped by topic for clarity.

Latest news

  • If Victims Need Legal Advisers in Crown Court, Why Are Parents Still Facing Family Court Alone?June 5, 2026 - 9:13 pm

    The Government has announced a £5 million pilot scheme to provide independent legal advisers for domestic abuse victims in Crown Court cases. While the move is welcome, many family court litigants continue to face complex proceedings without legal representation or meaningful support. What does this reform mean, and what lessons could family justice learn from it?

  • Contact With Your Child Has Stopped: What to Do Before the Family Court Treats It as the New NormalJune 4, 2026 - 4:32 pm

    Has contact with your child suddenly stopped, or is an existing child arrangements order no longer being followed? This guide explains why delay can make a safe parent-child relationship harder to repair, what evidence the court will examine, when enforcement may be appropriate and how litigants in person can prepare a clear, child-focused case.

  • Your Family Court Case Is Taking Too Long: How to Stop Delay Damaging Your Child and Your PositionJune 4, 2026 - 2:40 pm

    Has your family court case stalled while your child’s life continues to change? This guide explains why delay matters, what the Children Act 1989 says, how to distinguish necessary delay from avoidable drift, and the practical steps litigants in person can take to protect their position and keep the court focused on the child.

FAMILY LAW NEWS & UPDATES:

  • 1. Start Here (11)
    • Before You Apply to Court (2)
    • Common Mistakes (1)
    • Family Court Reality (4)
    • FAQs for Litigants in Person (1)
    • Litigants in Person – Family Court Guidance (3)
  • 2. Family Court Procedure (21)
    • Court Etiquette (1)
    • Court Process & Judicial Approach (2)
    • Forms & Applications (3)
    • Hearing Types (3)
    • MIAM & Mediation (1)
    • Procedural Updates (8)
    • Transparency & Reporting (2)
    • Urgent Applications (2)
  • 3. Cafcass & Reports Cluster (6)
    • Challenging Cafcass Reports (1)
    • Child Impact Analysis (1)
    • Safeguarding Checks (2)
    • Section 7 Reports (1)
    • The Child’s Voice (1)
  • 4. Domestic Abuse & Safeguarding Cluster (20)
    • Child Safety & Emotional Harm (1)
    • Coercive Control (3)
    • PD12J & Fact Finding (2)
    • Post Separation Abuse (3)
    • Protective Orders (2)
    • Safeguarding & Child Protection (4)
    • Safety Planning (2)
  • 5. Court Skills for Litigants in Person (37)
    • Advocacy Skills (1)
    • Bundles & Documents (1)
    • Evidence Explained (1)
    • Evidence Readiness (1)
    • Family Court Procedure (8)
    • Litigants in Person Support (2)
    • McKenzie Friend Support (15)
    • Personal Development for LiPs (5)
    • Remote Hearings (1)
  • 6. Tools Templates Research & Cases (32)
    • AI & Legal Process (17)
      • AI & Justice Reform (4)
      • Judicial Review & AI (8)
    • Case Studies (Anonymised) (2)
    • Family Court Accountability (3)
    • Legal Reflections (5)
    • Safeguarding Reform (3)
    • Templates & Checklists (2)

Important Notice

Information on this site is provided for procedural guidance and general information only.
It does not constitute legal advice and does not create a solicitor–client relationship.

If you require legal advice, you should consult a qualified solicitor.

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USEFUL LINKS

If you are representing yourself in family court, the following independent and authoritative resources may assist you in understanding procedure, safeguarding processes, and available support.

  • – GOV.UK – Family Court Guidance 
  • – HM Courts & Tribunals Service – Court Forms & Fees
  • – Cafcass – Understanding Cafcass
  • – Advicenow – Practical Guides for LiPs
  • – McKenzie Friends Official Guidance
  • – Support Through Court
  • – Rights of Women – Family Law & Abuse Guidance
  • – Family Law in the 21st Century (Baroness Hale)
  • – Inside the UK Supreme Court
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