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What precautions should lawyers take when using AI tools for legal research?

Key risks: confidentiality breaches, unreliable or outdated outputs, hallucinated cases/statutes, biased summaries, and unclear vendor data-use or retention that can waive privilege.

Practical precautions:

  • Protect client data: avoid entering identifying details into public models; use enterprise/on‑prem solutions with contractual data‑retention and non‑training clauses.
  • Verify everything: treat AI output as preliminary—check primary sources, citations, and controlling jurisdiction before relying on it.
  • Maintain an audit trail: save prompts, model responses, and your edits so you can justify conclusions and show human review.
  • Know the model’s limits: confirm currency of law (AI may not reflect recent changes) and watch for hallucinations.
  • Compliance and ethics: follow competence and supervision rules, disclose use to clients where required, and ensure nonlawyer staff use AI under supervision.
  • Vendor and security checks: review contracts, encryption, access controls, and incident response policies.
  • Train staff: set firmwide policies for prompt hygiene, validation, and when human review is mandatory.

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