Sequoia invests in Harvey for the third time — the AI startup for lawyers is valued at $11 billion

Harvey confirmed a valuation of $11 billion following a new funding round that included Sequoia Capital, Andreessen Horowitz, Kleiner Perkins, and venture investor Elad Gil. For Sequoia, this is already the third investment in the startup — a rare occurrence even in the overheated AI market: funds typically don't triple down on a single company without very compelling reasons. Harvey was founded in 2022 and is building an AI platform for legal work based on large language models.

The product addresses specific tasks: legal research, contract drafting and review, due diligence for M&A deals, and preparation of legal memoranda. The client base consists of major law firms from the Am Law 100 ranking and international corporate practices. The startup positions itself not as a replacement for lawyers, but as a tool for multiplying productivity: one specialist using Harvey accomplishes work that previously required an entire team.

The platform operates on top of Anthropic and OpenAI models, adding a layer of legal expertise: proprietary data for fine-tuning, specialized prompts, and tools for secure handling of confidential client databases. This eliminates one of the key barriers to adoption in this conservative industry — fear of data breaches. The $11 billion valuation makes Harvey one of the most expensive startups in the Legal AI segment.

As recently as 2024, the company was valued at approximately $3 billion. The nearly fourfold increase is explained not only by the general hype around AI companies, but also by verified metrics: Legal AI is one of the few vertical segments where clients see measurable return on investment, not just technological potential. The legal industry is ideally suited for automation through language models.

The hourly rate of a partner at a major firm can reach several thousand dollars, and a significant portion of that time is spent on tasks that LLMs complete in minutes: legal research, contract review, drafting of standard documents. At the same time, legal work requires high precision and references to specific sources — this is where language models with citation capability truly excel. Harvey is trained on specialized legal texts and understands jurisdictional specifics, which fundamentally distinguishes it from universal tools.

Competition in the segment is intensifying. Market players include Clio, Ironclad, ContractPodAi, Thomson Reuters with their own AI products, and major firms are testing GPT-4 and Claude-based solutions. Harvey maintains its leadership through vertical specialization: the company is not building a horizontal tool, but rather investing in industry data and deep integration with legal practice workflows.

The participation of Sequoia, a16z, and Kleiner Perkins in a single round is a rare configuration. Usually, top-tier funds compete for their share rather than invest jointly. The joint participation of three venture market leaders signals either a large round size or an unwillingness to miss a category leader.

The presence of Elad Gil — one of Silicon Valley's most authoritative business angels — further strengthens the signal. With an $11 billion valuation, Harvey is approaching the threshold where the market expects either an IPO or strategic acquisition. Thomson Reuters, LexisNexis, and large technology companies have long been watching the startup's growth.

For the Legal AI market, this current round is final confirmation: the segment has stopped being experimental and has become a full-fledged investment category with a proven business model and a clear path to liquidity.