Harvey AI Details M&A Workflow Tools as Legal Tech Valuation Hits $8B

Harvey AI has published a detailed breakdown of how M&A legal teams deploy its generative AI platform across deal lifecycles, from early diligence through closing—a move that showcases the $8 billion startup's push deeper into transactional legal work.

The company outlined eight specific use cases where its AI assists lawyers: identifying red flags in due diligence materials, analyzing live deal documents, extracting precedent terms, comparing data room completeness, generating closing checklists, drafting target company profiles, producing client guidance, and preparing disclosure schedules.

Time Savings Already Showing Up

Law firms using Harvey for M&A work report measurable efficiency gains. GSK Stockmann, a German law firm, achieved 15-20% time savings on structured diligence work. When applied to unstructured data rooms—the messier document collections that typically slow deals down—savings jumped to 75%.

"I used Harvey to review key agreements related to an M&A transaction, comprising hundreds of documents," said Todd Strang, a partner at KMSC Law. "I estimate Harvey saved me 10 hours just this week."

At Bruchou & Funes de Rioja, attorneys using Harvey for document categorization and risk identification reportedly surfaced critical insights early enough to shift focus from manual review to negotiation strategy.

How It Actually Works in Practice

Harvey's M&A tools integrate with existing legal workflows rather than requiring new processes. The platform can capture deal documents from email, analyze hundreds of contracts stored in document vaults, and generate citation-backed memos flagging material risks.

For live transactions, the AI reviews draft purchase agreements against term sheets, identifies deviations from precedent, and produces structured issues lists from redlined documents. On disclosure schedules—a notoriously tedious part of deal execution—Harvey assists both buy-side and sell-side teams by mapping disclosure requirements, drafting initial content, and checking for internal consistency.

Rapid Growth Trajectory

Harvey's platform expansion comes amid aggressive scaling. The company raised $160 million in December 2025, pushing its valuation to $8 billion—remarkable for a startup founded just three years prior in 2022. CMS, one of Europe's largest law firms, rolled out Harvey to over 7,000 lawyers in December, signaling enterprise-level adoption.

The company referenced the Comerica-Fifth Third Bancorp merger—a $10.9 billion deal approved in January 2026—as an example of the transaction complexity where its tools could streamline regulatory filing review and closing condition tracking.

Whether these efficiency claims translate into reduced legal fees for clients or simply higher margins for law firms remains the open question as AI legal tools proliferate across Big Law.