AI

AI for family law: practical uses and limits

Family lawyers can use general AI assistants to summarise financial disclosure, build relationship and parenting chronologies, draft first versions of letters and prepare hearing checklists. Files contain intimate details and information about children, so minimise what is shared and check every figure and date against the documents.

By Raghav Handa · Updated 17 October 2026 · 3 min read

What can AI realistically do in family law?

General AI assistants such as Claude or ChatGPT are useful for first-pass work that a lawyer then checks. They are not a substitute for judgement or for reading the source documents. These are the tasks that tend to hold up in family law.

TaskWhat the assistant doesWhat you give it
Financial summaryOrganises income, assets and liabilities into tablesDisclosure figures supplied by the client
ChronologyOrders key events in the relationship and care arrangementsDated notes from the matter
Letter draftDrafts a measured letter for your editThe issues and the position you want to take
Client explainerExplains the process stage and next stepsMatter status
Hearing checklistLists documents and steps before the hearingOpen actions and evidence list

What should you feed it from MatterOS?

An assistant is only as good as the record it is given. A structured matter page gives it the facts, dates, parties and open tasks in a consistent shape, so you are not pasting a messy email thread each time. From a MatterOS matter you would typically copy across:

  • Parties and the type of proceeding.
  • A financial summary prepared from the client's documents.
  • Dated events and arrangements recorded in the matter page.
  • The evidence list and the status of each document.
  • Court dates and deadlines you have confirmed.

MatterOS is a Notion template, so this is a copy-and-paste or export step you control, not an automatic feed. Decide what leaves your workspace each time, and strip anything the task does not need.

Where does AI go wrong in family law?

  • Financial arithmetic needs checking; models can add or transpose figures.
  • Child-related information and safeguarding concerns are especially sensitive; avoid names and identifiers.
  • Rules on disclosure, children and financial remedies differ by jurisdiction and by court.
  • Draft letters can sound more combative or conciliatory than you intend.

AI output can read fluently and still be wrong. Treat every citation, date, figure and quoted passage as unverified until you have checked it against the primary source yourself.

A simple workflow to start with

  1. 1

    Record facts neutrally

    Keep dated, factual notes on the matter.

  2. 2

    Remove identifiers

    Replace names of children and third parties with labels.

  3. 3

    Ask for structure

    Request a table or timeline rather than conclusions.

  4. 4

    Reconcile with documents

    Check each figure and date against the source.

Frequently asked questions

Can I use ChatGPT or Claude for family law?
Many lawyers do, for drafting first versions, summaries and checklists. You remain responsible for the result, so check the tool's terms on confidentiality and data use before putting any client information into it, and verify everything it produces.
Does MatterOS include AI?
MatterOS includes an AI prompt pack that works with Notion AI, Claude, ChatGPT or another assistant. The template itself is a set of Notion databases; the assistant is whichever one you choose and are permitted to use.
Is there professional guidance on lawyers using generative AI?
Yes. The American Bar Association issued Formal Opinion 512 on generative AI in July 2024, and many other bars have published their own guidance. Rules differ by jurisdiction, so check the rules and guidance that apply to you.
Should I use AI for child-related issues?
Be very cautious. Avoid identifiers, check the tool's terms and apply your own judgement; do not rely on a model for welfare or custody assessments.

About the author

Raghav Handa

Raghav Handa trained as a lawyer, then spent years building legal technology, from enterprise legal products to custom systems for law firms.

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