Before You Press Submit: Why AI Prompt Governance Matters in Legal Work and Family Justice
Artificial intelligence can help people organise evidence, draft documents and understand complex information. But the risk does not begin only with the answer an AI system produces. It begins with the prompt: the information entered, the assumptions built into the instruction and the decision to trust the output. Inspired by solicitor Genevieve Cripps’ practical work on prompt governance, this article examines what responsible AI use should look like in legal work, family proceedings and case preparation.
One of the many good points that stood out to me from Genevieve’s work
“The prompt is not merely a request for assistance. It is an information transfer.”
The AI Prompt Governance Checklist referenced in this article was developed by Genevieve Cripps. The analysis and application to family proceedings are the author’s own.

JSH Law | Legal AI, Evidence and Access to Justice
Before You Press Submit: Why Prompt Governance Matters in Legal Work, Family Justice and the Courts
The most serious risk in everyday artificial intelligence use may not begin with the model itself. It may begin with the information a person types into the prompt, the assumptions built into the instruction and the decision to trust the resulting answer without proper scrutiny.
Credit and inspiration
This article was inspired by the work of Genevieve Cripps, a solicitor whose professional interests include commercial litigation, data protection, personal data breach response, AI governance, responsible AI and emerging technology regulation.
Genevieve recently published an excellent practical resource entitled AI Prompt Governance Checklist: Before You Press Submit. Her central point is simple but important: organisations need clear, repeatable checks governing what users place into AI systems, how outputs are reviewed and when additional scrutiny is required.
You can view Genevieve’s professional work on LinkedIn here: Genevieve Cripps on LinkedIn .
In this article
- What prompt governance actually means.
- Why prompts can create confidentiality, privacy and evidential risks.
- How the issue applies to solicitors, legal support providers and litigants in person.
- Why family court material requires particular care.
- A practical “before you press submit” framework.
- What responsible human oversight should look like in reality.
The overlooked layer of AI risk
Much of the public debate about generative AI focuses on the model: whether it hallucinates, whether it is biased, whether it has been trained lawfully and whether its answers are reliable.
Those are legitimate concerns. But there is another layer of risk that is much closer to home.
Every day, users paste information into AI systems. They enter names, allegations, medical information, business strategies, client communications, court documents, witness evidence, financial figures and private family histories. They may do so without knowing where that information goes, whether it is retained, who can access it or whether it may be used for further model development.
The prompt is not merely a request for assistance. It is an information transfer.
Before asking whether an AI answer is useful, the user should ask whether the information should have been entered into that system at all.
What is prompt governance?
Prompt governance is the system of rules, safeguards and review processes governing how people interact with artificial intelligence.
It includes questions such as:
- Which AI tools are approved for use?
- What information may be entered?
- What information must be removed, anonymised or withheld?
- Who may create or approve important prompts?
- How should prompts and outputs be recorded?
- Who is responsible for checking the result?
- When is specialist legal, privacy, security or safeguarding review required?
- When should AI not be used at all?
Genevieve Cripps’ checklist divides this into five practical questions:
- Is AI appropriate for this task?
- Am I sharing the right information?
- Is my prompt clear?
- Can the AI output be trusted?
- Could the prompt or output create risk?
This is precisely the kind of implementation-focused thinking that responsible AI adoption needs. Governance cannot remain trapped inside policy papers, board presentations and abstract ethical principles. It must reach the moment when an individual user is about to press “submit”.
1. Is AI appropriate for this task?
Not every task should be delegated to an AI system.
Artificial intelligence may be useful for organising information, identifying themes, producing a first draft, simplifying language, creating a checklist or suggesting questions for further investigation.
It is far more dangerous when it is asked to make, or effectively determine, a decision requiring human judgment.
Examples include:
- deciding whether a child is telling the truth;
- assessing whether domestic abuse has occurred;
- determining whether contact is safe;
- assessing litigation capacity;
- deciding whether allegations are credible;
- determining whether a person poses a safeguarding risk;
- predicting how a judge will decide a case;
- deciding whether evidence should be reported to the police or a local authority.
AI may assist a person to identify relevant questions. It should not replace the careful, accountable and context-sensitive judgment required in high-impact legal and safeguarding decisions.
Family justice warning
A child arrangements case is not a neutral document-processing exercise. It may involve domestic abuse, coercive control, trauma, neurodiversity, allegations of harm, contested evidence, cultural context and serious consequences for a child’s safety and family relationships. No AI tool should be treated as a substitute for proper safeguarding analysis.
2. Am I sharing the right information?
This may be the most important question of all.
Before entering material into an AI system, consider:
- Does the prompt contain a person’s full name?
- Does it include a child’s identity or date of birth?
- Does it contain a home address, school, medical provider or contact details?
- Does it reveal domestic abuse, sexual allegations or health information?
- Does it contain confidential client information?
- Does it reproduce a solicitor’s advice or privileged communication?
- Does it contain police, Cafcass, social services or medical records?
- Does it reproduce documents filed in private family proceedings?
- Does it include information about a third party who has not consented?
The fact that information is already stored electronically does not mean it is safe or lawful to transfer it into a separate AI system.
Users should also avoid assuming that deleting names is always sufficient. A person may remain identifiable from the combination of location, occupation, family structure, dates, allegations and case history.
Data minimisation must happen before submission
Where AI use is appropriate, provide only what is genuinely necessary.
That may mean:
- replacing names with neutral labels such as “Mother”, “Father” and “Child A”;
- removing addresses, telephone numbers and identifying references;
- summarising the relevant issue instead of uploading an entire bundle;
- excluding unrelated medical, sexual or financial information;
- using an approved enterprise system rather than a personal consumer account;
- checking retention, training and privacy settings before use.
“Would I be comfortable sending this information to an unknown external provider?” is a useful starting question. In legal work, however, comfort is not enough. The user must also consider confidentiality, privilege, data protection, court restrictions and professional duties.
3. Is the prompt clear?
Poor prompts produce poor outputs. More importantly, vague prompts can conceal poor reasoning.
Genevieve’s checklist proposes a useful formula:
In legal work, each of those elements matters.
Role
What function is the system being asked to perform? Is it organising evidence, identifying inconsistencies, simplifying language or producing a first draft?
Simply telling an AI system to “act as a senior barrister” does not transform it into one. A role instruction may affect the structure and tone of an answer, but it does not create professional competence, accountability or legal authority.
Task
Define the actual job. “Help with my case” is too broad. “Create a chronological table from these dated events without adding facts or drawing conclusions” is clearer and safer.
Context
AI cannot reliably understand the context it has not been given. At the same time, users should not respond by dumping an entire life history, confidential file or court bundle into the system.
The discipline lies in providing sufficient relevant context without excessive disclosure.
Constraints
Appropriate constraints might include:
- do not invent facts;
- do not alter quoted wording;
- distinguish evidence from allegation;
- identify missing dates;
- do not make findings of fact;
- use neutral, child-focused language;
- flag anything requiring legal verification;
- state where the source material does not support a conclusion.
Output
Specify the form required: chronology, schedule, table, letter, neutral summary, list of issues or questions for professional advice.
A defined format makes it easier to review the result and identify whether the system has departed from its instructions.
4. Can the AI output be trusted?
Not without checking.
Generative AI can produce polished, fluent and authoritative-sounding text that is incomplete, misleading or simply wrong. Its tone may create an impression of certainty that the underlying material does not justify.
In legal contexts, common risks include:
- invented case citations;
- incorrect quotations from judgments;
- outdated procedural rules;
- confusion between different jurisdictions;
- overstatement of legal tests;
- failure to recognise exceptions;
- miscalculated deadlines;
- incorrect assumptions about the content of an order;
- turning disputed allegations into apparent facts;
- omitting evidence that does not fit the requested narrative.
Human review must be substantive. It is not enough to read an answer and think that it “sounds right”.
A proper verification process
- Check every legal proposition against a reliable current source.
- Open and read every cited judgment rather than trusting the summary.
- Verify all dates, figures, names and quotations.
- Compare the output against the original evidence.
- Check that allegations have not been presented as findings.
- Ask what relevant material may have been omitted.
- Ensure a responsible human approves the final document.
5. Could the prompt or output create risk?
Genevieve’s framework identifies four broad categories:
Security
Could the prompt contain malicious instructions, hidden content, unsafe links or prompt-injection material?
Privacy
Does the prompt involve personal, confidential, privileged or sensitive information?
Compliance
Could the use create bias, unfairness, unlawful processing or regulatory problems?
Governance
Must the prompt or output be recorded, reviewed, authorised or disclosed?
In litigation, a fifth category should be added: evidential and procedural risk.
Questions include:
- Has the system changed the substance of a witness’s evidence?
- Can the author explain and stand behind every sentence?
- Has the output introduced facts that do not appear in the source material?
- Has the use of AI affected authenticity or provenance?
- Does the document comply with the relevant court rules, practice directions and orders?
- Is disclosure of AI involvement required or appropriate?
- Could the output mislead the court?
Prompt governance in family proceedings
Private family proceedings deserve particular attention because the underlying material is often intensely sensitive.
A typical case file may include:
- children’s names, dates of birth, schools and medical information;
- domestic abuse allegations;
- sexual allegations;
- police disclosure;
- Cafcass safeguarding letters and section 7 reports;
- social care records;
- medical and therapeutic information;
- private messages and photographs;
- financial information;
- information about third parties;
- documents governed by reporting or publication restrictions.
Uploading an unredacted bundle to a general-purpose AI tool because it is convenient is not responsible case preparation.
This does not mean AI has no legitimate role. Used carefully, it may help litigants in person:
- put events into chronological order;
- identify repeated patterns of behaviour;
- separate evidence from commentary;
- improve the structure of a statement;
- convert a long narrative into a schedule;
- identify documents that appear to be missing;
- prepare questions for legal advice or a hearing;
- rewrite hostile correspondence into calm, child-focused language.
But the safeguards must come first.
Never ask AI to manufacture a stronger case
AI must not be used to embellish evidence, create allegations, invent conversations, alter screenshots, misrepresent legal advice or produce a false appearance of independent corroboration.
A witness statement must remain the witness’s truthful evidence. The person signing it must understand, approve and be able to defend its contents.
The professional position for legal services
Legal professionals are not prohibited from using artificial intelligence. But using a technological tool does not displace professional responsibility.
Solicitors and firms remain responsible for:
- competence and service quality;
- client confidentiality;
- legal professional privilege;
- data protection compliance;
- accuracy of legal work;
- supervision of staff and systems;
- duties to the court;
- acting in clients’ best interests;
- ensuring that the court is not misled.
An organisation should therefore know which tools its staff are using, what information is being entered, what contractual and privacy terms apply, how outputs are checked and who remains accountable.
“A member of staff used ChatGPT” is not a governance framework.
A JSH Law “before you press submit” check
Before entering information
- Purpose: What exactly am I asking the system to do?
- Suitability: Is AI appropriate for this task?
- Authority: Am I permitted to use this tool and this information?
- Necessity: Does the system genuinely need all this material?
- Identity: Can names, addresses and identifying details be removed?
- Sensitivity: Does the material concern children, health, abuse, sexuality, criminal allegations or safeguarding?
- Confidentiality: Is any part confidential, privileged or restricted by the court?
- Security: Do I understand where the information will be processed and retained?
Before using the output
- Accuracy: Have all facts, calculations and legal propositions been checked?
- Evidence: Does every factual statement come from the source material?
- Neutrality: Have allegations and findings been clearly distinguished?
- Currency: Is the law and procedure up to date?
- Omissions: Has relevant contrary or qualifying material been left out?
- Responsibility: Can a named human stand behind the final document?
- Record: Should the prompt, output and review process be documented?
- Disclosure: Does the context require transparency about AI use?
Good governance should enable responsible use, not prevent it
Responsible AI governance is sometimes presented as an obstacle to innovation. That is the wrong way to look at it.
Clear rules allow people to use technology with greater confidence. They reduce uncertainty, protect sensitive information and make it easier to identify when human intervention is required.
The goal should not be to surround ordinary users with impenetrable policies. It should be to create practical safeguards that work at the point of use.
Genevieve Cripps’ checklist succeeds because it converts broad principles such as security, privacy, accuracy and accountability into questions a real person can ask before and after using AI.
That is where responsible adoption begins: not in a glossy strategy document, but in everyday decisions.
What this means for litigants in person
Litigants in person are already using generative AI. That reality cannot be wished away.
For someone who cannot afford extensive legal representation, AI may provide meaningful help with organisation, language and preparation. It may reduce the disadvantage caused by unfamiliar court processes and dense legal terminology.
But access to technology is not the same as access to reliable legal support.
Litigants in person should treat AI as a drafting and organisational assistant, not as an invisible lawyer, judge, safeguarding professional or source of unquestionable authority.
The safest approach is:
- remove identifying and sensitive information wherever possible;
- use AI for defined, limited tasks;
- retain the original source documents;
- check every substantive statement;
- seek qualified advice where the issue is serious or complex;
- never file material that you do not understand or cannot verify.
Conclusion
The prompt is not an inconsequential box of text. It can determine what data enters a system, what assumptions shape the result and what risks follow.
In legal and family justice settings, those risks are amplified because the information may affect rights, reputations, safety, children’s welfare and the fairness of court proceedings.
Prompt governance therefore needs to become part of basic professional and digital competence.
Before pressing submit, ask:
Should I use AI for this task?
Should I share this information?
Can I verify the result?
And am I prepared to remain accountable for what happens next?
Need help organising a legal case responsibly?
JSH Law provides practical, evidence-led support for litigants in person who need help turning large, disorganised or overwhelming case material into clear documents for use in family proceedings.
Support may include:
- chronologies and schedules of events;
- witness statement structure and review;
- evidence organisation;
- Cafcass report analysis;
- hearing preparation;
- appeal paperwork;
- non-molestation order applications;
- identifying gaps, inconsistencies and safeguarding issues;
- responsible use of AI-assisted legal preparation.
The purpose is not to manufacture a case. It is to present the evidence accurately, calmly and effectively, while keeping the child’s welfare and the court’s decision-making needs firmly in view.
Sources and further reading
- Genevieve Cripps, AI Prompt Governance Checklist: Before You Press Submit. Add the original LinkedIn post or document link here: original resource .
- Solicitors Regulation Authority, Compliance tips for solicitors regarding the use of AI and lawtech .
- Information Commissioner’s Office, Guidance on AI and data protection .
- Information Commissioner’s Office, AI security and data minimisation .
- Judiciary of England and Wales, Artificial Intelligence: Judicial Guidance .
- Civil Justice Council, Use of AI in preparing court documents .









