AI Best Practices in Legal

Lawyers have been sanctioned for filing AI-invented citations — the cautionary tale of the profession. Used with verification discipline, though, AI is transforming review, research, and drafting economics.

Last reviewed Jul 7, 2026Latest Legal AI news →

The checklist

  • Verify every citation, quote, and characterization of authority against the primary source before it leaves your desk. No exceptions.
  • Client confidentiality first: matter data only enters AI tools under enterprise agreements with training disabled — never consumer tiers.
  • Use AI where it's strong: first-pass document review, summarization, drafting from templates, discovery triage — always with attorney review.
  • Check your jurisdiction's AI disclosure rules; several courts now require certifying AI use in filings.
  • Supervise AI like a junior associate: competence and supervision duties (Model Rules 1.1, 5.3) extend to tools.
  • Log AI use per matter — clients increasingly ask, and some engagement letters now require it.

1. Primary-source verification is the rule

Do: Treat every AI-produced citation as unverified until you've pulled the case and confirmed it exists, says what's claimed, and remains good law.
Don't: File, send, or advise on anything containing an unchecked AI citation or quotation.

Why: Models fabricate convincing case law — right reporter format, plausible parties, invented holdings. Multiple attorneys have been sanctioned; every incident started with skipping this step.

2. Contain client data

Do: Approve specific tools with enterprise terms (no training on inputs, retention controls, confidentiality); restrict matter data to those tools; brief the whole team including staff.
Don't: Let anyone paste privileged documents into free chatbots for a quick summary.

Why: Confidentiality duties don't bend for convenience, and privilege waiver arguments over third-party AI processing are now live litigation issues.

3. Deploy AI on volume, keep judgment human

Do: Use AI for privilege-log first passes, contract clause extraction, deposition summarization, and template-based drafting — with attorney review calibrated by sampling.
Don't: Delegate legal strategy, novel argumentation, or final work product to a model.

Why: The economics are real — review hours drop dramatically — but the license, the malpractice exposure, and the duty of candor all attach to the human signature.

4. Know the disclosure landscape

Do: Track standing orders in your courts on AI-use certification; maintain a firm register of which matters used which tools; disclose where required.
Don't: Assume the rules are the same across jurisdictions, or that nondisclosure is safe by default.

Why: Courts diverge — some require certification, some ban generative drafting in filings, most say nothing yet. The register costs minutes; being wrong in front of a judge costs credibility.

5. Train supervision, not just usage

Do: Set firm policy on approved tools and verification workflow; train associates that AI output is a starting draft with an error rate; audit compliance.
Don't: Let adoption spread tool-by-tool with each lawyer improvising their own diligence standard.

Why: Ethics rules make supervising lawyers responsible for nonlawyer assistance — which now includes software. A written, trained workflow is the defensible position.

Set up before you start

clone or study these first

After the sanctions headlines

The fake-citation sanctions cases did the profession a service: they made the failure mode vivid early. The lesson was never “don’t use AI” — it was that generative output is a draft from an unlicensed assistant with a known fabrication rate, and everything downstream follows from treating it that way.

Meanwhile the quiet transformation is in volume work. Document review, due-diligence extraction, and first-draft generation from firm templates now run at a fraction of their former hours at firms that built the verification workflow. The competitive gap isn’t between firms that use AI and firms that don’t — it’s between firms with a supervised process and firms with improvisation.

What changed in this playbook

  • First edition.