AI for Law Firms
AI for law firms: useful, defensible, and boring on purpose.
The interesting AI story in a law firm isn't a robot lawyer. It's faster drafts, faster intake, and faster status updates — with a verification step that never gets skipped.
Where AI pays off first
Five places to start, in order of how boring they are.
Boring is the point. The safest use cases are the ones where a wrong draft is easy to catch before it matters.
01
Intake call summaries
Turn a 20-minute intake call into a clean summary for the file, without a paralegal transcribing it by hand.
02
First-draft engagement letters
Start from a draft built off your templates and the intake details, not a blank document.
03
Client status updates
Routine "here's where your matter stands" emails drafted in seconds, reviewed before they go out.
04
Document review triage
Sort a large document set by relevance before a human does the review that actually matters.
05
Internal research memos
A starting point for legal research — not a finished memo, a first draft to verify and build from.
The hallucination problem, handled
Models fabricate citations. That's not a rumor.
General-purpose AI models will occasionally invent case law that sounds completely plausible and doesn't exist. This isn't a rare glitch — it's a known failure mode of how these models work, and courts have sanctioned lawyers for filing briefs with unverified AI-generated citations. That's the risk. It's real and it's avoidable.
The fix isn't "don't use AI." It's process.
- ▸AI drafts. It doesn't file.
- ▸An attorney verifies every citation against the primary source, every time.
- ▸Nothing goes out the door with a citation nobody has actually checked.
Confidentiality
Privilege doesn't disappear because a tool is involved.
Client information going into an AI tool is still client information. Treat it that way.
Business-tier tools only
No-training-data policies, in writing, before any client matter details go anywhere near a prompt.
Privilege considerations
Treat AI tools the way you'd treat any third-party service touching privileged material — with the same scrutiny.
Vendor DPAs
A signed data processing agreement isn't optional paperwork — it's the thing that makes the above enforceable.
Adoption path
Start narrow. Write it down. Then expand.
A one-paragraph "just use ChatGPT" policy is not a policy. Pilot a single use case with a small group, put real rules in writing, then train the rest of the firm on what's actually been tested — not on what's theoretically possible. Our AI policy template is a reasonable starting point if you don't have one yet, and AI automation covers what's involved in wiring these tools into your existing case management system.
FAQ
Questions law firms ask us.
Is using AI in a law practice even allowed?
Bar guidance in most states generally permits it, subject to the same duties you already have — competence and confidentiality. It's not a new category of ethics problem, it's your existing duties applied to a new tool. Verify the specifics with your state bar before rolling anything out firm-wide.
Will clients care that we're using AI?
Most won't notice, because the output looks like normal firm work — a status update, a draft letter. The ones who ask usually want to hear that a human reviewed it before it went out, which should always be true anyway.
What does this do to billable hours?
It compresses the drafting time inside a task, not necessarily the value billed for the task. Firms handle this differently — some pass savings to clients on fixed-fee work, some reinvest the time in more matters. Worth deciding deliberately rather than by accident.
Which practice areas should start first?
High-volume, template-heavy work — intake, standard agreements, routine correspondence. Litigation research and anything client-facing under time pressure benefits too, but start where the drafts are easiest to verify quickly.
Find out what AI can do for your firm.
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