Explore how professionals in Legal use AI as a tool. Real use cases, practical examples, and community stories.
14 use cases in Legal
Use AI to summarize long legal materials, extract key information, surface patterns across large document sets and datasets, and work with case materials — compressing hours of manual review into minutes while surfacing strategic insights.
Use AI to accelerate first drafts of legal documents and correspondence — clauses, briefs, memos, letters, emails — brainstorm approaches, refine through iterative dialogue, and structure or consolidate content from multiple sources into polished communications.
Uses a general-purpose AI model (Claude) in legal practice, preferring it over specialized legal AI products, and teaches it the user’s specific way of practicing law so it can assist as a practice-aligned copilot.
Use AI to scan and organize high-volume legal inboxes — grouping emails by matter, flagging overdue or missed messages, producing daily digests with action items, and supporting initial draft responses — so lawyers can process communications faster without missing deadlines or client obligations.
Use AI to review agreements against predefined checklists and guardrails, flag risk items and clause deviations, propose redlines and fallback language, and extract key terms across a contract portfolio — accelerating legal review while keeping humans in control of all risk decisions.
Apply practical safeguards when using AI in a dispute context (e.g., avoid sharing settlement expectations, avoid writing anything you wouldn't want disclosed, only upload documents you expect to disclose, and disable model-training on chats).
Use AI to test whether a legal argument or analysis is internally consistent and to flag potential contradictions or gaps.
Use AI to compare how different jurisdictions regulate similar issues, helping lawyers map differences and similarities faster.
Use AI to help identify and summarize supporting case law for a motion/brief under time pressure, as an initial research assistant before finalizing authorities.
Use AI to identify structural patterns and common clauses across agreements to speed up contract analysis and comparison.
Uses AI to document, organize, and maintain a searchable, permanent repository of legal AI learnings — including prompts, workflows, playbooks, vendor evaluations, and field notes — so institutional knowledge is reused instead of getting lost.
Embed an AI-powered legal operations system into existing tools (e.g., Slack and Claude-based workflows) so non-lawyer operators (like a Chief of Staff) can handle routine legal ops and escalate to legal professionals when needed.
Use AI to estimate the monetary impact of legal risks (e.g., likely penalties, litigation exposure, and downside scenarios) so in-house teams can quantify cost avoidance and communicate value to the business.
Use ChatGPT as a thinking partner to quickly draft onboarding guidance for a new team member (e.g., how the lawyer works, thinks, and what matters in the business), reducing time spent explaining repeatable context.