AI agent use cases for legal teams
How legal teams put AI agents to work: real deployments with the results they reported, and recipes you can try. Every example links to its source.
How SUSE's legal team brought acquisition due diligence in-house with Harvey
SUSE, the enterprise open-source software company, gave its small in-house legal team Harvey to take M&A diligence, regulatory work and disputes back from outside counsel without hiring. The team reviews contracts again…
How SUSE's legal team brought acquisition due diligence in-house with Harvey
SUSE, the enterprise open-source software company, gave its small in-house legal team Harvey to take M&A diligence, regulatory work and disputes back from outside counsel without …
60% faster contract reviews and 32% faster delivery of legal advice to the business, as reported by Harvey.
How CMS rolled out Harvey to thousands of lawyers after a 12-month pilot
International law firm CMS piloted Harvey for twelve months, then scaled it across the firm for contract review, document analysis and knowledge synthesis. Harvey reports high ado…
Harvey reports 95% adoption across 3,000+ lawyers during the initial rollout.
How an estate-planning lawyer saves drafting time with Spellbook
An estate-planning lawyer at CunninghamLegal uses Spellbook daily to draft clauses, write client memos and double-check agreements. Spellbook reports he saves time every day.
Spellbook reports savings of 15-20 minutes per clause drafted.
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Where these examples come from
Every example links to its source: a company's own engineering blog, a vendor's customer story, official documentation or a public write-up. AgentGid writes the summary; the figures under “Results” are quoted from the source as it reports them, and most customer stories are published by the vendor of the tool, so read them as the vendor's claims. Recipes follow the official docs at the time we checked them; tools change quickly, so the linked docs are the reference.
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