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L1 · Legal AI use cases7 min read

Legal research, summarization and transcription

Legal research

AI research tools from legal publishers and start-ups connect a language model to case law, legislation and secondary sources. You ask a question in plain words and get an answer with citations. Used well, they speed up the first hour of research: orienting, finding leading authorities and spotting issues.

Rules for research tools:

  • Use legal research tools, not general chatbots, for law. General chatbots are more likely to invent authorities.
  • Click every citation. Read the passage relied on; check it is still good law.
  • State jurisdiction and date in the question.
  • Treat the answer as a research memo from a new junior: useful, not final.

Summarization

Summarization is the most common legal AI use. It works for long contracts, transcripts, regulatory consultations, board papers and email chains. Good practice: ask for a structured summary (parties, obligations, dates, risks), ask the tool to quote the key passages, and spot-check against the original.

Transcription

Transcribing calls, interviews and meetings is now routine (53% of general counsel in The General Counsel Report 2026). Legal questions come with it: consent to record, where audio and transcripts are stored, whether transcripts of legal advice are privileged and who can access them, and retention.

Internal knowledge Q&A

Many teams build a Q&A assistant over their own policies, templates and past advice. This can answer routine business questions ("Can I sign this NDA?") and route the rest to a lawyer. It needs current, well-organized source material and clear limits on what it answers.

What this means for the General Counsel

What this means for a General Counsel

Research and summarization are where your lawyers will spend most of their AI time, so your rules for them matter most. Three to set now:

  • Approved tools by data type: which tools may see confidential or privileged material.
  • Verification: every authority checked before use, and summaries spot-checked against the source.
  • Recording and transcripts: consent, storage, access and retention, especially for privileged discussions.

Then pick one internal Q&A pilot over your own policies: it reduces routine questions to the legal team and shows the business what legal AI can do.

Real example

Microsoft's Corporate, External, and Legal Affairs organization (CELA), about 2,000 lawyers and compliance professionals, will use the Harvey platform to support its legal and compliance work, according to a July 2026 report by LawSites. Earlier adopters included law firms and PwC, which announced in March 2023 that 4,000 of its legal professionals would get access to Harvey. Source: LawSites (LawNext) — Microsoft's own legal department will use Harvey (23 July 2026) ↗ · PwC UK — PwC announces strategic alliance with Harvey (15 March 2023) ↗

Use it

Quick check · 3 questions

  1. 1.What is the first thing to do with a citation from an AI research tool?

  2. 2.Which legal issue does AI transcription of meetings raise?

  3. 3.What makes an internal policy Q&A assistant reliable?

0 of 3 answered

Sources

Last reviewed 2026-10-01.