Harvey, the AI platform built for legal work, has plugged into PitchBook's private market database. The integration means lawyers can now query company valuations, investor profiles, and deal terms directly inside Harvey's chatbot-style interface — no toggling between screens.
Why lawyers need private market data
Corporate attorneys working on mergers, fundraises, or IPOs routinely check private company metrics. PitchBook tracks more than three million private companies, venture capital rounds, and M&A transactions. Until now, a lawyer might open a browser tab, search PitchBook's platform, copy the numbers, and paste them into a memo. That back-and-forth eats billable hours.
Harvey's AI already handles document review, contract analysis, and legal research. Adding PitchBook's data turns the tool into a one-stop desk for deal lawyers. A user can ask, for example, “What was the Series C valuation for Company X?” and get a structured answer without leaving the chat.
What the integration does
The connection works both ways. Harvey's large-language model processes plain-language questions, translates them into structured queries, and pulls the relevant data points from PitchBook's API. The results appear as concise summaries or tables, depending on what the lawyer needs.
Private market intelligence is notoriously scattered across databases, pitch decks, and deal memos. Harvey's approach lets a legal team centralize that search. The company said the feature is live now for all Harvey users with a PitchBook subscription.
Who benefits most
Transactional lawyers — M&A partners, corporate associates, and in-house counsel at venture-backed companies — are the obvious audience. But the integration also helps litigators who need to value a business quickly, or regulatory teams reviewing antitrust filings that require market share data.
Neither Harvey nor PitchBook disclosed financial terms of the data deal. The integration is purely technical: Harvey is a customer of PitchBook's API, not an investor or joint-venture partner.
For Harvey, the move deepens its foothold in Big Law. The startup already counts firms like Latham & Watkins and Kirkland & Ellis as users. Adding proprietary datasets — PitchBook's is one of the deepest available — gives legal teams a reason to keep Harvey open all day.
PitchBook gets a distribution channel it hasn't had before. The firm historically sold directly to finance professionals and analysts. Embedding inside a legal AI tool opens a new market without building its own legal workflow product.
The integration is available now. No word yet on whether other datasets — such as LexisNexis or court dockets — will follow, but Harvey's architecture makes further connections straightforward.
