Harvey announced $550 million in new funding on September 9 for software that helps law firms and corporate legal departments search documents, analyze contracts and prepare drafts. Its next challenge is connecting that work to each organization's accumulated knowledge: the agreements, precedents and internal standards that make one firm's answer different from another's.
Consider a legal team reviewing a business before an acquisition. Harvey's Vault can search a collection of contracts for change-of-control clauses or termination rights and arrange the findings in a review table. A lawyer can then inspect the underlying material rather than begin with a separate manual search of every file. Assistant handles questions and drafting against selected documents or legal sources, with outputs that can be revised and exported.
That work does not necessarily start with a fresh upload. Harvey's iManage integration lets lawyers import material from their document-management system and return a draft to the relevant matter—the file associated with a particular client engagement. Shared knowledge bases can hold precedents and playbooks, with permissions controlling access. The practical attraction is less movement between disconnected tools, while keeping the firm's existing work available to the people preparing the next document.
The commercial audience includes outside counsel and the legal teams inside businesses. Harvey says 80 of the Am Law 100 firms use its software, along with legal teams at five Fortune 10 companies. The Next Web reports more than 3,000 paying organizations and annual recurring revenue above $400 million; that recurring-revenue measure is not the same as revenue already earned over a year. The breadth of adoption matters because the product is being sold into ongoing professional work, not only one-off experiments.
Diffusion and Lightspeed Venture Partners co-led the financing, which Lightspeed identifies as a Series H. Harvey's own announcement puts its valuation at $15.5 billion. New investors also included Sapphire Ventures and Whale Rock, alongside returning backers. The company says the funding follows its first post-trained open-weight model and a legal-agent benchmark. In plain terms, it is adapting an available model for legal work and developing tests of how well AI systems complete that work.
The business implication is a move from answering isolated questions to supporting repeatable processes built around a firm's own files and standards. That makes document access, source checking and review as important as generating fluent text. Harvey's guidance explicitly says human verification remains critical. Whether a team can complete a matter with less rework—not simply produce a first draft faster—is the more useful test of what this expansion delivers.