AI

AI for criminal defense: practical uses and limits

Criminal defense lawyers can use general AI assistants to summarise disclosure, build event timelines, outline cross-examination themes for later review and draft first versions of letters. The stakes are high: client confidences are central, and any error in a fact or authority can harm the client, so outputs must be verified.

By Raghav Handa · Updated 17 October 2026 · 4 min read

What can AI realistically do in criminal defense?

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 criminal defense.

TaskWhat the assistant doesWhat you give it
Disclosure summarySummarises statements and reports, listing who said whatRedacted extracts of the material
TimelineOrders events from several sources and highlights conflictsDated entries from the matter and evidence records
Question themesSuggests areas to probe for you to assessA summary of the witness evidence
Client letterDrafts a plain-language explanation of the next stageMatter status and the next hearing
ChecklistDrafts a pre-hearing preparation listOpen actions for the matter

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:

  • The charge and stage of the case, at the level of detail the task needs.
  • An evidence list describing each item, its source and your review status.
  • Hearing dates and bail or custody conditions you have verified.
  • Open actions, each with an owner and deadline.

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 criminal defense?

  • Defence strategy and client admissions are core privileged material. Think hard before pasting them into any outside system.
  • Disclosure can include third-party data, such as victims, witnesses and children's information, with legal limits on handling it.
  • Models can blur who said what; check each attribution against the source.
  • Procedural rules and sentencing law differ by court and jurisdiction; do not take them from a model.

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

    Log each source

    Add every disclosure item to the evidence database with its status.

  2. 2

    Redact

    Remove identifiers of non-parties before any summary request.

  3. 3

    Request a neutral summary

    Ask for what each source says, not what it means for the case.

  4. 4

    Check against the original

    Review quotations and attributions line by line.

Frequently asked questions

Can I use ChatGPT or Claude for criminal defense?
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.
Is AI-generated work product privileged?
That depends on your jurisdiction and how the tool is used. Treat it cautiously and take local advice rather than assuming protection.

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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