AI for law firms
AI for law firms, built around what you cannot delegate
A small firm can lose a good matter to a voicemail at 6 p.m. and still lose a Friday to chronologies. AI can help with both, as long as confidentiality and attorney review are designed in before anything else.
The short answer
AI helps a law firm by screening intake around the clock, summarizing depositions and document sets, drafting time entries, and keeping clients updated without a paralegal typing each note. Every output is a draft for attorney review, and client information should only go into tools whose terms and data handling you have read.
Where it pays off
Five workflows worth looking at first
- 01
New matter intake screening
Collects the practice area, the opposing party for a conflict check, and key dates, then routes to the right attorney. It gives no legal advice and says plainly that no attorney-client relationship exists yet.
- 02
Deposition and record summaries
Page-line summaries and medical or document chronologies, with every statement tied back to its source page so a paralegal can check it quickly.
- 03
Time entry drafting
Turns calendar events, emails, and document activity into draft narratives at the end of the day. The timekeeper edits them and decides what gets billed.
- 04
Client status updates
A plain-English summary of where the matter stands, drawn from your practice management system and held for attorney approval, which cuts the "any news?" calls.
- 05
First-pass document review
Sorts a production by issue, flags possibly privileged documents, and pulls key clauses from contracts for comparison. The attorney still makes every privilege call.
Before you build
Confidentiality, competence, and supervision rules all apply to AI, and bar ethics guidance on them varies by state. Pasting client facts into a consumer chatbot can be a confidentiality problem by itself. Models also invent citations that look real, and lawyers have been sanctioned for filing them, so nothing goes out unverified. An intake bot has its own traps: it cannot give legal advice, and it should not leave a prospect thinking they have hired you. Time saved by AI raises billing questions too, so settle your policy before the first invoice.
This is a practical caution, not legal advice. Check with your own counsel.
Where our experience stops
We have not shipped a production system for a law firm yet; the same patterns apply, and we will tell you where they do not.
Questions
What people ask us
Can lawyers use ChatGPT ethically?
Generally yes, with care, and the answer depends on your state bar. The main issues are keeping client information out of tools that do not protect it, verifying everything, and supervising the tool as you would a junior employee. Read your bar's guidance and the vendor's data terms before you start.
How do AI agents for law firms handle client confidentiality?
They should run on business-tier accounts or your own infrastructure, with terms that rule out model training on your data, access limited by matter, and logs of what was read. Ask any vendor where the data goes and who can see it, and get the answer in writing.
Should a law firm build custom AI or use a legal AI product?
For legal research, buy a product that sits on a real legal database. Custom work makes more sense for your own intake, your document templates, and the gaps between your practice management tools. Most small firms should start with a firm-wide usage policy, which costs far less than either.
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