The short answer

AI can make legal help cheaper, faster and easier to understand. It can be particularly valuable to litigants in person who need help organising evidence, preparing chronologies and understanding court procedure. But it cannot safely replace verified legal research, professional responsibility, safeguarding judgment, human advocacy or judicial independence. The future should be AI-supported, human-accountable and evidence-led justice.

For several years, the legal profession discussed artificial intelligence as though it were standing outside the courtroom, waiting to be admitted.

That conversation is now out of date.

AI is already inside law firms, government departments and the justice system. It is being used to research legal questions, review documents, produce transcripts, organise evidence and support judicial administration. Members of the public are using ChatGPT, Claude, Gemini and Copilot to understand their legal problems before they ever speak to a lawyer—if they speak to one at all.

In May 2026, the Master of the Rolls said that AI would be used in every aspect of the work of lawyers and judges. He predicted that it would allow legal and judicial work to be performed more quickly and at more proportionate cost.

The question is therefore no longer whether AI will be used in law. It is what kind of legal system we are building around it.

What does the fine-structure constant have to do with justice?

In physics, the fine-structure constant is represented by the Greek letter α, or alpha. It is a dimensionless number, approximately equal to 1/137, which measures the strength of electromagnetic interaction between charged particles.

It helps physicists describe how matter interacts with light and how the fine structure of atomic energy levels arises. It is a small number with enormous consequences.

Legal artificial intelligence needs governing constants of its own.

I do not mean one mysterious numerical value. I mean a set of principles that must remain fixed whenever technology interacts with legal rights, evidence and human vulnerability:

These principles matter in every legal field. They become especially important where somebody is representing themselves.

A litigant in person may ask a general-purpose chatbot to interpret a court order, identify the relevant law or prepare a witness statement without knowing whether the response is accurate. In family proceedings, the information may concern domestic abuse, coercive control, children’s welfare, confidential medical evidence or an urgent safeguarding risk.

The challenge is therefore not simply to make legal AI more powerful. It is to calibrate the relationship between machine assistance and human justice.

Get that relationship right and AI could widen access to justice. Get it wrong and we may automate error, inequality and harm at unprecedented speed.

AI has already entered the English courtroom

In May 2026, a freelance HR consultant reportedly recovered approximately £7,000 in unpaid fees following a three-hour trial at Wandsworth County Court. She had used Garfield AI, an SRA-authorised AI-centred law firm, for the pre-trial legal work.

The reported cost of that assistance was approximately £400. Garfield AI helped with the court documents, witness statements and trial bundle. A human barrister conducted the advocacy.

That distinction matters.

This was not an autonomous machine standing before a judge and winning a case. It was an example of technology performing repeatable preparation work while a human advocate remained responsible for presenting and testing the case.

Nevertheless, it demonstrated something important. Claims that were previously uneconomic to pursue may become viable if the cost of legal preparation falls.

For a freelancer owed £7,000, a tenant in dispute with a landlord, an employee pursuing unpaid wages or a parent needing help to organise a family-court application, that change is not theoretical. It may determine whether they can enforce their rights at all.

This should not be treated as proof that lawyers are obsolete. Nor should it be dismissed as a publicity exercise. It is evidence that the economics of legal work are changing.

Further reading: report on the Garfield AI-assisted county court case .

The justice system itself is adopting AI

In June 2026, the Ministry of Justice announced plans to develop and test AI legal assistants to support routine casework, legal research and case analysis. A further tool is intended to help judges identify trial-ready cases and group similar hearings, with the stated aim of reducing delays in the Crown Court.

The government says the technology will first be tested in controlled environments against standards for safe and ethical use.

That is essential. The justice system handles criminal allegations, children’s information, domestic-abuse evidence, medical records and material capable of changing the course of a person’s life.

AI is also being used in more targeted judicial work. In April 2026, the Chancellor of the High Court described how AI was helping judges identify information that may need to be removed from published judgments to prevent individuals from being identified.

This is particularly relevant to family cases. Removing names may not be enough. A combination of locations, relationships, medical conditions, school information or unusual factual details can still identify a child or family. AI may help detect that “jigsaw identification” risk.

The final responsibility, however, remains with the judge.

Sources: Ministry of Justice, AI tech ambition to deliver smarter justice for victims; Chancellor of the High Court, Legal Professional Privilege in the Age of AI; and Master of the Rolls, Artificial Intelligence and the Judiciary.

AI could transform access to justice—but the protection gap is real

The strongest argument for legal AI is not that it will make already profitable law firms even more profitable. It is that it may provide meaningful assistance to people who currently receive none.

Research published by the Legal Services Board in June 2026 found that consumers were broadly optimistic about the possibilities:

• 70% expected AI to make legal services easier to use;
• 66% expected improved accessibility; and
• 64% expected legal services to become more affordable.

That optimism came with conditions. Consumers expected accuracy, human oversight, informed consent, protection of personal information and a route to complain or obtain redress.

Those are not unreasonable demands. They are the minimum foundations of trustworthy legal assistance.

A client using a regulated legal service ordinarily benefits from professional duties, supervision, insurance and a complaints process. A person relying directly on a general-purpose chatbot may have none of those protections. They may not even realise that there is a difference.

AI should reduce the cost of obtaining reliable help. It should not simply transfer the cost of mistakes to the person least able to bear them.

Source: Legal Services Board, AI tools show real promise to increase access to legal services .

AI hallucinations are not a minor technical inconvenience

Generative AI can produce information that sounds authoritative but is inaccurate, incomplete or entirely invented. In law, this can include fictitious cases, fabricated quotations, incorrect legislation and false descriptions of what a judgment decided.

In Ayinde v London Borough of Haringey and Al-Haroun v Qatar National Bank QPSC [2025] EWHC 1383 (Admin), the Divisional Court addressed false legal authorities placed before the court.

The judgment emphasised that legal representatives remain responsible for material submitted to the court. It also warned that public AI tools may invent cases, citations or quotations and may provide incorrect or misleading information about the law.

A confident answer is not necessarily a correct answer. A citation is not verified merely because it looks properly formatted. Every important legal proposition should be checked against the actual legislation, judgment, procedural rule or authoritative guidance.

That responsibility applies to lawyers. It also matters to litigants in person.

However, it is unrealistic to pretend that an unrepresented, distressed court user has the same research skills, database access or professional training as a regulated practitioner. Education, safer tools and affordable human support are more useful than simply warning people that they use AI at their own risk.

Source: Ayinde v London Borough of Haringey and Al-Haroun v Qatar National Bank QPSC [2025] EWHC 1383 (Admin) .

Should AI-generated court documents be disclosed?

The Civil Justice Council has been examining whether additional rules are needed when legal representatives use AI to prepare pleadings, witness statements, expert reports and other court documents.

Its June 2026 update recorded substantial agreement that existing professional responsibilities may be sufficient for pleadings, skeleton arguments and similar documents. Witness statements remain a more difficult area.

That is because a witness statement is not simply a piece of legal writing. It is supposed to contain the witness’s own evidence and personal recollection.

AI may help a witness organise dates, remove repetition and express their account more clearly. But it may also reshape language, strengthen uncertain recollections, introduce details or turn a complicated human memory into an artificially seamless narrative.

That creates a particular risk when the underlying evidence is contested.

Disclosure rules should protect the integrity of evidence without stigmatising people who use accessible technology to overcome disability, trauma, language difficulties or lack of legal representation.

Source: Civil Justice Council, Use of AI in preparing court documents .

Why family law requires particular care

Family proceedings are not document-production exercises. They frequently involve domestic abuse, coercive control, disputed allegations, trauma, vulnerable adults, children’s wishes and feelings, safeguarding risk and intensely personal evidence.

AI can help a parent:

• identify relevant dates;
• organise messages and other evidence;
• prepare a clear chronology;
• remove repetition from a draft statement;
• understand the basic structure of a position statement;
• identify questions to ask Cafcass or a legal adviser; and
• turn a large quantity of information into manageable categories.

Those functions can make an enormous difference to an overwhelmed litigant in person. They can also make the court’s job easier by helping the litigant present the real issues clearly and proportionately.

But AI cannot safely decide:

• whether a child is at immediate risk;
• whether apparently isolated incidents form part of a coercive pattern;
• whether apparently reasonable language disguises controlling behaviour;
• which allegations are relevant to welfare and future risk;
• whether communication or direct contact with another party is safe;
• what evidence should be disclosed, redacted or urgently preserved;
• whether an agreement has been reached freely; or
• what order is necessary and proportionate in a particular case.

General-purpose AI often produces polished, balanced and conciliatory language. That may be helpful in ordinary disputes. In domestic-abuse cases, however, it can flatten the reality of coercive control.

A sustained pattern of intimidation may be rewritten as a “communication difficulty”. Repeated breaches of boundaries may become a “difference in parenting styles”. A safety-driven refusal may be presented as an unwillingness to compromise.

That is not neutrality. It is the loss of legally and safeguarding-relevant context.

The opposite problem can also occur. AI may overstate weak evidence, apply legal labels too readily or encourage a parent to include every grievance they have ever experienced. That does not strengthen a case. It can bury the central welfare issues beneath unnecessary material.

Family-law AI must be trauma-informed and safeguarding-aware. It must recognise when a question has moved beyond document assistance and requires specialist human judgment.

How litigants in person can use AI more safely

AI can be genuinely useful to somebody representing themselves, provided it is treated as an assistant rather than an authority.

Good uses of AI

• organising your own account into a dated chronology;
• summarising correspondence you have already checked;
• identifying repetition or unclear passages;
• turning a long draft into structured headings;
• preparing a list of questions for a legal adviser;
• explaining unfamiliar terminology in plain English;
• creating a document or hearing checklist; and
• improving the readability of words you have written.

Matters requiring independent verification or human advice

• case citations and quotations from judgments;
• filing dates and limitation periods;
• the precise legal effect of an existing order;
• the admissibility or relevance of evidence;
• the correct application, form or procedural route;
• the likelihood of a particular outcome;
• immediate safeguarding or domestic-abuse risk; and
• complex, urgent or contested proceedings.

Legislation should be checked on legislation.gov.uk. Court rules and official guidance should be checked through GOV.UK or the Judiciary website. A case name should be verified by locating and reading the actual judgment.

Never cite a case merely because an AI system supplied its name.

AI will change the legal business model as much as the legal work

The most disruptive feature of AI may not be its ability to draft. It may be its effect on time.

If work that once took five hours can be completed responsibly in one, clients will increasingly question why they should be charged according to the old timescale.

Law firms will need to demonstrate value through judgment, strategy, accountability, advocacy and outcomes—not simply through the volume of time recorded.

That does not make lawyers less important. It changes where their value lies.

The most valuable legal professionals will be those who can use AI efficiently while recognising where it is unreliable; who can distinguish information from evidence; and who remain prepared to take responsibility for the work placed before a client, opponent or court.

The fine structure of responsible legal AI

The legal profession does not need to choose between blind enthusiasm and defensive resistance. It needs enforceable standards, responsible innovation and a clear understanding of what must remain human.

AI should make legal expertise more accessible. It should not disguise the withdrawal of that expertise.

It should reduce unnecessary cost. It should not remove accountability.

It should help judges and lawyers understand evidence. It should not decide whose evidence is believed.

It should help litigants in person communicate clearly. It should not rewrite their memories or invent their legal authorities.

It should identify patterns. It should not reduce domestic abuse, coercive control or safeguarding risk to decontextualised data points.

The fine-structure constant helps describe the interaction between matter and light. The fine structure of justice will depend on how carefully we govern the interaction between artificial intelligence and human judgment.

The governing constants must be accuracy, accountability, confidentiality, transparency, human oversight and redress.

If those principles remain fixed, AI may become one of the most important access-to-justice tools of our generation.

If they are treated as optional, AI will not correct the inequalities already present in our legal system. It will reproduce them faster.

Frequently asked questions about AI and law

JSH Law: using technology without losing sight of the human case

AI can help organise information, but effective court preparation still requires judgment: identifying the real issues, checking the evidence, removing material that weakens the case and presenting the position clearly and proportionately.

JSH Law provides practical, evidence-led and safeguarding-aware support with chronologies, witness statements, schedules of allegations, position statements, Cafcass material, appeal paperwork, court bundles and hearing preparation.

If you are representing yourself, the aim is not to make your case sound more legal. It is to make the relevant facts, evidence, welfare concerns and orders sought easier for the court to understand.

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About the author

Jessica Susan Hill writes about artificial intelligence, legal technology, family justice, domestic abuse, safeguarding, litigants in person and access to justice. Her work focuses on how technology can make legal processes more understandable and accessible without weakening professional responsibility, evidence quality or human judgment.