AI tools for law firms and legal teams

Practical AI for law firms and in-house legal: document review prep, drafting first passes, meeting notes, intake and knowledge search, with confidentiality and professional-responsibility cautions.

Top pain points

Reading volume. Contracts, discovery and regulations take hours of careful reading before analysis begins.
First drafts. Routine letters, summaries and memos consume associate time that clients increasingly push back on.
Knowledge scattered across systems. Prior work product exists but is hard to find.
Intake friction. Prospective clients wait for callbacks and drop off.
Billable-time pressure. Admin and non-billable tasks crowd out legal work.

Workflows that work

Contract first-pass review. Upload an agreement to a business-tier assistant and ask for a table of parties, term, renewal, termination rights, indemnities and limitation of liability, with section numbers. The attorney uses the table as a map, then reads the source. The value is orientation, not judgment.

Plain-language client updates. After an attorney writes the substance, an assistant can turn it into a clear client email at the right reading level. The attorney approves the final text.

Document Q&A on a closed set. Tools that answer only from uploaded sources with citations, such as NotebookLM, are better suited to “what does this policy say about X” than open-ended chat, because each answer points back to a passage.

Intake. An agent-style assistant can collect basic facts, check conflicts against a list you maintain, and book consultations. It should never give legal advice or create the impression of representation.

Compliance cautions

This page is general information, not legal or ethics advice. Professional-responsibility guidance on AI is evolving and varies by jurisdiction; common themes include competence (understanding the tool’s limits), confidentiality (client information and privilege), supervision of AI-assisted work, candor to the tribunal (verify every citation), and communication with clients about AI use where appropriate. Review each vendor’s data handling, avoid consumer accounts for client matters, and check court-specific rules, some of which require disclosure of AI-assisted filings.

Your first 30 days

Week 1: Pick one internal, non-privileged task (marketing content or policy rewriting) and use a business-tier assistant for it daily; note time saved.
Week 2: Write a one-page firm AI policy covering approved tools, prohibited data, citation verification and supervision; have partners sign off.
Week 3: Pilot contract first-pass tables on a public or sample agreement, and compare against an associate’s manual review to calibrate trust.
Week 4: Add an intake assistant or document Q&A on approved materials, review results with the managing partner, and decide what to scale.

Keep a simple log of time spent before and after each change. It’s the only honest way to know whether a tool is earning its subscription, and it gives you real numbers rather than vendor claims.

Questions to ask before buying

Will you sign terms that prohibit training on our data, and how long do you retain inputs?
Where is data stored and who at the vendor can access it?
Can we export or delete all matter data on request?
Does the tool cite sources so attorneys can verify every statement?

If a vendor can’t answer these clearly in writing, keep looking. Most tools on this page offer free tiers or trials, so you can test with non-sensitive sample data before committing.

Common mistakes to avoid

Filing anything with a citation no one has checked.

The pattern behind all of these is the same: AI is a fast first draft and a tireless assistant, but the professional judgment, the accountability and the final review stay with people.

Tools mapped to workflows

Claude: Summarize long contracts and produce issue lists or clause tables for attorney review, on a business plan with appropriate data controls.
ChatGPT: Draft first-pass client letters, plain-language explanations and internal memos for attorney editing.
NotebookLM: Ask questions across a set of uploaded documents (e.g. a policy manual or deposition excerpts) with citations back to the sources.
Perplexity: Quick, cited background research on unfamiliar industries or public facts; never a substitute for legal research databases.
Glean: Enterprise search across the firm's approved internal systems so lawyers find precedents and prior work faster.
Otter.ai: Transcribe internal meetings and CLE sessions where recording is appropriate.
Grammarly: Clarity and tone edits on non-privileged correspondence and marketing content.
Lindy: Agent-style intake assistant that collects prospective-client details and books consultations, with human review before engagement.

Starter stacks

Lean (solo or small firm)

One business-tier AI assistant with data controls, Grammarly, and a documented review process. No client data in consumer accounts.

Growth (growing firm)

Business AI assistant, NotebookLM or similar for document Q&A on approved materials, an intake assistant, meeting transcription for internal meetings.

Team (mid-size firm or legal department)

Enterprise AI assistant with admin controls, Glean for internal knowledge search, formal AI policy, vendor security reviews and training.

Prices change often; check each vendor's pricing page before buying.

Related playbooks

FAQ

Can lawyers use ChatGPT or Claude?

Many firms do for drafting and summarization, but bar guidance in several jurisdictions emphasizes competence, confidentiality, supervision and client communication. Check your jurisdiction's guidance and use business plans with appropriate data controls.

Will AI invent case citations?

General AI assistants can produce fabricated citations. Verify every authority in a legal research database before relying on it.

Is client data safe in AI tools?

It depends on the vendor's terms and your plan. Review data retention and training policies, prefer enterprise agreements, and follow your firm's confidentiality obligations.

What is the safest first use of AI in a law firm?

Internal, non-privileged tasks: marketing content, internal policies, summarizing public documents and drafting templates that attorneys then review.

This page is general information, not legal, medical, financial or compliance advice. Confirm requirements with a qualified professional and each vendor's current terms.