The growing role of AI in the legal field
AI is moving from headline to habit in law offices. For practical guidance tailored to legal practice, see AI for Legal.
As one litigator put it, "There are an endless variety of tasks which lawyers do on a daily basis… But generally, with human oversight and review, AI can be used for administrative tasks, legal research, document review, contract drafting and management, and legal drafting of memos and motions."
Where AI fits in practice
- Legal research: first-pass issue spotting, summarizing cases, extracting rules and factors.
- Document review: classify, cluster, and flag potential privilege or anomalies before human review.
- Contracts: draft from playbooks, compare versions, surface deviations, and suggest clauses.
- Drafting support: outlines, memos, and motion skeletons that you then refine.
- Admin: summarize meetings, organize email threads, and generate follow-up tasks.
Confidentiality first
Client protection is nonnegotiable. "I would never include the client's name or business name in any kind of search," said the attorney quoted above.
Use secured, enterprise tools tied to firm accounts, not public chatbots. "I might use a tool such as Microsoft Copilot to summarize a Word document or analyze emails in Outlook… The final work product will be saved in my firm files only - which are highly secure. Confidential client information won't be disseminated anywhere."
Learn the data handling defaults for any vendor you use. For example, review documentation for Microsoft Copilot for Microsoft 365 and confirm tenant settings, data boundaries, and logging. For practical training on Copilot and enterprise workflow security, see Microsoft AI Courses.
Be open with clients
Set expectations. "An attorney should discuss with their clients that they have used AI… Attorneys who bill their time prepare descriptions for each task which can include the process used. These descriptions are included in the attorney's invoice."
Two simple moves help: include AI use in engagement letters (scope, limits, security) and make billing entries clear. Example: "Reviewed 200 emails using firm-approved AI to group by issue; conducted privilege check; drafted summary for partner review."
Use judgment-by task, not by hype
Just because you can use AI on a matter doesn't mean you should. Be selective: high-volume, pattern-heavy tasks are good candidates; novel legal questions and sensitive facts demand extra care.
As the attorney noted, "when utilized carefully and properly, AI can be an excellent tool to help automate legal tasks such as research, document review and analysis."
Outcomes that matter
Clients care about results and costs. "AI can help an attorney save time and ultimately bill less on a task for the client… Ideally, AI should enable attorneys to spend more time strategizing and analyzing complex issues with faster turnaround times, and potentially reduced costs for the client."
Practical guardrails you can implement this week
- Tool selection: use enterprise tools with clear data residency, no training on your prompts, and audit logs.
- Access control: restrict by team/matter; enable MFA; disable data sharing outside the tenant.
- Redaction habits: remove client names, unique IDs, and sensitive facts before prompts unless using secured, in-tenant data.
- Prompt hygiene: give sources, cite jurisdictions, and ask for pinpoint citations. Never accept outputs without verification.
- Human review: require attorney sign-off; track revisions made to AI drafts.
- Privilege and confidentiality: confirm outputs don't waive privilege; keep AI work product inside matter files.
- Logging: record which tool was used, version/date, and what data was provided.
- Policy and training: publish a short internal policy; run a 45-minute workflow training per practice group.
- Vendor diligence: review DPAs and security docs; confirm incident response commitments.
- Pilot and measure: pick two workflows, baseline the time, and compare after four weeks.
Ethics and policy resources
- American Bar Association guidance on lawyer use of generative AI: ABA policy on AI (2024)
- Microsoft Copilot for Microsoft 365 overview: Product and security details
Want structured, practical training?
If your firm is building repeatable, secure AI workflows by role, explore curated options here: AI courses by job.
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