ChatGPT for Lawyers: 5 Prompts That Draft Contracts, Memos, and More

Not every legal task belongs in ChatGPT. Courtroom strategy, client-specific legal advice, anything requiring real-time case law research — those stay with you. But a significant portion of legal work is structured writing that follows a predictable format. That is exactly where AI earns its keep.

Contract clause drafting. NDAs, engagement letters, boilerplate sections, standard representations and warranties — these clauses follow established patterns. ChatGPT drafts a solid first version you can review and customize in a fraction of the time it takes to build from scratch or dig through a prior-matter folder looking for something close enough to adapt.

Legal memo outlines. IRAC — Issue, Rule, Analysis, Conclusion — is a structure every attorney knows. ChatGPT applies it reliably. Give it the legal question, the applicable rule, and the key facts, and it returns a scaffolded memo outline you can write into rather than a blank document you have to architect first.

Client intake summaries. After an intake call, you have notes, impressions, and a mental model of the client's situation. Turning that into a clean, structured summary for the file — one that a colleague could pick up cold and understand — takes longer than the call itself. ChatGPT drafts it from your notes in minutes.

Demand letter drafts. The structure of a demand letter is consistent regardless of the matter type: establish the relationship, state the breach or injury, articulate the demand, set the deadline, preserve your options. ChatGPT drafts it. You add the factual specifics and the legal precision.

Deposition question lists. Preparing for a deposition requires organizing everything you need to establish across background, the key events, documents, credibility, and damages. ChatGPT builds the topic-by-topic question list from your case facts. You edit out what doesn't fit, add what it missed, and walk into the room with a complete first draft instead of notes on a legal pad.

Case timeline summaries from notes. Complex matters generate months of emails, filings, and calls. When you need a clean chronological summary — for a brief, a client update, or to bring in co-counsel — ChatGPT turns your raw notes into a structured timeline. Dates, events, key actors, all organized and readable.

The non-disclosure clause is one of the most frequently drafted documents in practice. Here's the workflow for getting a solid first draft out of ChatGPT in under five minutes — then adapting it to your matter in five more.

Step 1: Identify what you need. Before opening ChatGPT, know three things: the parties (who is disclosing, who is receiving), the purpose of the NDA (what information is being protected and why), and any non-standard terms you know you need (carve-outs, jurisdiction, term length, remedy preferences). Two minutes of thought before you prompt saves five minutes of editing after.

Step 2: Run the prompt below. Copy it as-is, fill in the brackets, and paste it into ChatGPT. The prompt is written to produce a clause you can actually use as a starting point — not a generic summary of what an NDA clause should say.

Step 3: Review for legal accuracy and client specifics. Read the output as you would any associate's first draft. The structure will be right. The provisions that need your judgment — whether the exclusions are adequate, whether the remedy language fits your client's risk profile, jurisdiction-specific requirements — those are what you're editing for. Five minutes.

Step 4: Drop it into your document and move on. Total time from blank page to reviewed draft: under ten minutes. Compare that to building from scratch or hunting for a prior-matter precedent that's close enough. That time difference, across every clause in every engagement letter, adds up fast.

For the complete system — plug-and-play workflow templates for the legal document cycles that repeat every week — the Automation Workflow Templates ($34) have the full library built out and ready to adapt.

Always review AI-generated legal content before use. AI drafts — you practice law.

These five prompts cover the highest-volume document types in most practices. Fill in the brackets — each one is built for real legal work, not generic business writing.

1. NDA Non-Disclosure Clause Draft

For drafting the non-disclosure clause of a mutual or one-way NDA. Returns a complete, structured clause ready for attorney review and customization.

2. Legal Memo Outline (IRAC Format)

For scaffolding a legal memo before you write into it. Returns a complete IRAC-structured outline — Issue, Rule, Analysis, Conclusion — you can expand directly in your document.

3. Client Intake Summary from Notes

For turning post-call notes into a clean, structured intake summary the file — and any colleague who picks it up — can actually use.

4. Demand Letter Draft (Breach of Contract Scenario)

For drafting a demand letter in a breach of contract matter. Returns a complete first draft structured around the facts and relief sought — ready for attorney review and customization.

5. Deposition Question List by Topic

For building a deposition question list organized by topic area. Returns a structured, comprehensive first draft you can edit down to what fits your strategy.

These five prompts cover the majority of high-volume document work in most practices. For the complete plug-and-play workflow template library — legal document cycles that repeat every week, ready to adapt for any matter type — the Automation Workflow Templates ($34) have everything built out.

Always review AI-generated legal content before use. AI drafts — you practice law.

Attorneys who start using ChatGPT without a system hit the same wall fast: the first time works well, the second time the output is off, and by 10pm on a document-heavy day they're spending more time editing bad output than just writing from scratch. The problem isn't ChatGPT — it's the absence of a prompt built for the actual task.

Consistency across matters. When every NDA clause, every demand letter, and every intake summary starts from the same well-built prompt, the quality floor goes up across your entire practice. The output is consistent in structure and tone regardless of which matter, which client, or what time of day it is. That consistency matters both for the work product and for the client relationship.

Faster junior associate onboarding. A structured prompt library is a training resource. Associates who join your firm with strong legal knowledge but limited drafting experience get a scaffold they can learn from while using it. They produce better first drafts faster. Your review time drops. The leverage you wanted from hiring compounds.

No more 10pm blank-page paralysis. The hardest part of document drafting is often just starting. A prompt pack eliminates the blank-page problem entirely. The structure is already there. You fill in the matter-specific details, review the output, and move on. That mental energy goes back to the work that actually requires your judgment — and your billing rate.

Reusable across every matter. Build the prompts once — or start with ones that are already built — and they work for every client you'll ever have. The NDA prompt doesn't care whether it's a tech startup or a real estate deal. The demand letter prompt works for contract disputes, fee disputes, and vendor disagreements. The investment compounds with every use.

The attorneys who adopt AI now will bill the same hours and do twice the work.