Harvey's valuation trajectory reads almost like a joke.
In February 2025, Sequoia led a round at $3 billion. Four months later, Kleiner Perkins and Coatue came in at $5 billion. By year-end, a16z led at $8 billion. This March, GIC and Sequoia jointly led another round, pushing the valuation directly to $11 billion. From $3 billion to $11 billion in 14 months.
In the same period, Swedish legal AI company Legora completed a $550 million Series D, its valuation skyrocketing from $1.8 billion last October to $5.55 billion — tripling in five months.
Two companies, two numbers that make you wince. Legal AI has suddenly become one of the most cash-rich verticals in 2026.
Harvey: Sequoia Invested Three Rounds in a Row — That's Worth Asking Why
What does Harvey do? AI tools for lawyers — contract analysis, legal research, due diligence, litigation material organization.
Sounds ordinary, but a few details deserve a closer look.
First, Sequoia invested in three consecutive rounds. Sequoia partner Pat Grady publicly called it "an unusually dense expression of trust" for a VC. Top-tier VCs don't do this unless ARR growth is staggering. Harvey has raised over $1 billion in total but never discloses specific revenue figures — an unspoken rule in VC circles: companies with good numbers don't need to flaunt them.
Second, the pricing structure. Legal billing rates are never low — top law firm lawyers start at $500–1,000 per hour. A Harvey seat can cost several thousand dollars a year; a lawyer saves two hours and the cost is recouped. This isn't selling monthly subscriptions to consumers. Legal clients have strong willingness to pay, and once the math works, they don't leave.
Third, clients aren't trialing — they're embedded in workflows. Morgan Stanley uses it, EY uses it, BCG uses it. Not pilot projects — daily use. Once embedded in a workflow, the cost of switching out is far higher than renewing. That's the real moat.
Harvey founder Winston Weinberg was originally a first-year associate at a law firm. He knew firsthand what lawyers do every day and where they get stuck — a typical path for building vertical AI tools: people who don't understand the industry rarely build truly useful products.
Legora: From the Nordics, but with a Stellar Client List
Legora was founded in 2022, headquartered in Stockholm. If you haven't heard the name, that's normal — its U.S. presence is much lower than Harvey's, but look at the client list and you'll pause: White & Case, Cleary Gottlieb, Goodwin, Linklaters, Deloitte, Dentons.
Top-tier law firms, the Big Four, multinational law firms — Legora serves the very top of the legal industry. It currently serves over 50,000 lawyers, covers more than 50 markets, and has over 800 corporate clients.
It only opened its first U.S. office in New York last March. CEO Max Junestrand said "U.S. market adoption has exceeded expectations." This $550 million Series D will directly fund new offices in Houston and Chicago, with plans to have over 300 U.S. employees by year-end.
Accel led the round, with Benchmark, Bessemer, General Catalyst, Salesforce Ventures, and other veteran VCs following — even Y Combinator is in the mix.
Why Legal AI Is Exploding Now
It's not hype. Several conditions have matured simultaneously.
Legal text is naturally suited for AI processing. Contracts, case law, regulatory provisions — all structured text with historical references. Unlike open-domain chat, errors in legal AI are easier to catch; lawyers can review the output themselves. With a fault-tolerant mechanism in place, using it feels less risky.
Large model capabilities have just crossed a critical threshold. Three years ago, processing a 100-page contract with GPT-3 was painful. Now, Claude Opus or GPT-5 can read through a stack of due diligence documents and list risk items — with accuracy high enough that lawyers are willing to use them in work materials.
Legal budgets are the last to be cut. Compliance and legal are rarely touched unless absolutely necessary. AI helps lawyers reduce repetitive work, meaning they can take on more cases and bill more hours. This logic is positive for law firm partners, with short decision cycles — unlike selling tools to IT departments that require three quarters of approval.
A Few Questions No One Dares to Address
Neither Harvey nor Legora discloses revenue. What kind of ARR multiple supports $11 billion and $5.55 billion valuations? Outsiders can only guess. If it's a 20x ARR multiple, what revenue level would be needed to sustain these numbers? — That question hangs in the air.
There's also a longer-term uncertainty: OpenAI, Google, and Microsoft could enter the legal vertical at any time. Harvey and Legora's moats — industry data accumulation, workflow integration, brand reputation in law firm circles — weren't built overnight, but they aren't unbreachable either.
Legal AI is real demand. Current valuations are pricing future market dominance. The stakes are not small.
Sources: Harvey confirms $11B valuation: Sequoia triples down (TechCrunch); Legal AI Startup Legora Raises $550 Million for US Expansion (Bloomberg); CocoLoop, Legora Series D blog post (legora.com)