Harvey

Harvey started in 2022 on a simple wager: that lawyers would trust AI to do real legal work, not just autocomplete a memo. Three years later that bet looks early rather than reckless. The company now says more than 142,000 legal professionals use it, ARR crossed roughly $190M by early 2026, and investors have poured in over a billion dollars at an $11B valuation.

Founded by Winston Weinberg, a former securities lawyer, and Gabriel Pereyra, an AI researcher who worked at DeepMind, Harvey pairs legal domain expertise with frontier models. It runs out of San Francisco with offices in New York and London, and it is hiring fast across engineering, legal, sales, and go-to-market to defend the category it helped create.

Harvey is domain-specific AI for legal and professional services. Instead of handing lawyers a generic chatbot, it packages research, drafting, document analysis, due diligence, and contract review into one secure platform that plugs into the tools firms already live in.

The pitch is precision over novelty. Answers are grounded in trusted sources, work happens inside Word, Outlook, and document management systems, and the whole thing is wrapped in the security controls a law firm's risk committee demands. Harvey says its platform runs more than 200,000 queries and processes over 1.3 million files a day.

Legal work is full of high-stakes drudgery: reviewing thousands of documents in due diligence, checking a draft against precedent, building deal checklists, or reading discovery no human can get through fast. That work is slow, expensive, and where mistakes hide.

Harvey aims those tasks at AI so lawyers can spend time on judgment instead of review. It surfaces risks across huge document sets regardless of language or jurisdiction, drafts first passes of briefs and memos, extracts deadlines and key terms, and pulls from public filings like the SEC's EDGAR. The recurring theme in customer quotes is time: one Ashurst workflow cut lease summaries from three or four hours to three or four minutes.

Harvey is squarely enterprise. Its customers are large law firms, including a majority of the AmLaw 100, and in-house legal teams at big corporations, spread across roughly 60 countries.

The product splits by how those teams work: transactional lawyers running due diligence and deal management, litigators handling case assessment and discovery, in-house counsel shifting from routine work to strategy, and firm innovation leaders driving adoption. There is a mid-sized firm track too, but the pricing and sales motion make clear the sweet spot is the top of the market.

Harvey is less a single app than a suite that shares one secure foundation. Assistant handles Q&A, analysis, and drafting; Vault stores and bulk-analyzes documents; Knowledge answers complex legal, regulatory, and tax questions; and Workflow Agents let a firm build its own multi-step automations in plain language.

Around that core sit Contract Intelligence for review and negotiation, Command Center for analytics and benchmarking, an Ecosystem layer that grounds answers in tools firms already use, and mobile access. Harvey says customers have already built more than 25,000 custom agentic workflows on the platform.

Harvey sells enterprise SaaS on a per-seat subscription, sold through a direct sales motion rather than a public price list. There is no self-serve tier and no published pricing, which is itself a strategy: the product is built for firms that can absorb a serious per-user cost.

Third-party reports peg seats around $1,200 per user per month, roughly doubling once a LexisNexis integration is added, with 20-seat minimums and 12-month contracts common. That puts the annual entry point near a quarter of a million dollars, which is exactly why the model works at the top of the market and shuts out most small firms.

Harvey competes with the legacy legal research giants moving into AI, most notably LexisNexis and Thomson Reuters with CoCounsel, alongside a wave of legal AI startups like Legora and Robin AI, plus the general-purpose assistants firms could use instead.

Its edge is domain depth and a head start: purpose-built agents that execute end to end, deep integrations into firm tooling, and enough enterprise trust to land the AmLaw 100. The strategic bet now is agentic workflows and expanding beyond law into broader professional services. The catch is that its biggest rivals own the underlying legal content Harvey often has to license.

Harvey leans hard on adoption metrics, and they are concrete. It reports more than 142,000 legal professionals using the platform, 200,000+ queries and 1.3 million+ files processed per day, and a 92% average monthly usage rate among customers.

The customer-level results are just as specific: GSK Stockmann cites 75% time savings on due diligence with custom workflows, Carvana reports 800+ hours saved on structured litigation work, and firms from Reed Smith to Ashurst describe Harvey as their most successful technology rollout. These are the company's own figures, but the named firms behind them are real.

Talk to Harvey's customers and the praise is consistent: domain-trained results that actually understand legal work, strong drafting and contract analysis, and cited research that saves real hours. Named partners at firms like A&O Shearman and Reed Smith go on record calling it their most successful tech adoption.

The criticism is just as consistent, and it is about money. On forums like r/legaltech and LinkedIn, operators flag steep per-seat pricing, big jumps when Lexis is bolted on, seat minimums, and year-long contracts that lock out anyone smaller than a large firm. The overall read: excellent product, priced for the enterprise and nobody else.

Harvey has raised more than $1 billion, and the pace tells the story. A $300M Series E at $5B co-led by Kleiner Perkins and Coatue landed in mid-2025, a Series F pushed the valuation to $8B by December, and a $200M growth round in March 2026 co-led by GIC and Sequoia set it at $11B.

The cap table reads like a bet by every major fund at once: Sequoia, Kleiner Perkins, a16z, GV, Coatue, GIC, DST Global, the OpenAI Startup Fund, and REV, the venture arm of LexisNexis's parent. With roughly $190M in ARR reported for early 2026, the valuation is a wager on how far the category can still run.

Harvey's next act is written in its own strategy: go deeper on agentic workflows and expand beyond legal into the wider world of professional services like consulting and accounting. The $11B valuation only makes sense if that expansion works.

The risks are real. Its pricing screens out most of the market, its biggest rivals own the legal content it depends on, and the model providers underneath it keep getting better on their own. Harvey's answer is the moat it has already dug: embedded workflows, enterprise trust, and a three-year head start in a category it largely defined.

Harvey runs on three stated values: Decisiveness, Simplicity, and Job's Not Finished. The gist is acting on clear judgment over perfect information, betting that simplicity is what scales, and staying restless about the current product. It blends deep AI research pedigree, including DeepMind roots, with actual legal expertise, and CTO Siva Gurumurthy joined from Motive and Twitter in May 2025.

The environment is hybrid, with roughly three or more days a week in office for San Francisco, New York, and London roles and some clearly-marked remote positions. Hiring is aggressive across engineering, legal, sales, and go-to-market in those hubs and internationally, and benefits are comprehensive.

Harvey discloses salary ranges on many of its US roles, and the spread is wide because the roles are: senior engineering, product, and G&A leadership sit at the high end while operations and support anchor the lower bands. Everything disclosed is in US dollars on an annual basis.

Engineering and product bands run from roughly the low six figures into the mid-to-high $300Ks, with individual leadership roles reaching higher. Roles also come with equity and a benefits package that includes health, dental, and vision coverage, a 401(k) match, immediately-eligible parental leave, a professional development stipend, and daily in-office lunch.

Security is a selling point, not a footnote, because Harvey's buyers hold their clients' most sensitive material. The platform ships the controls enterprise legal teams expect by default: SAML SSO, audit logs, IP allow-listing, and data lifecycle management.

On compliance it lists SOC 2 Type II, ISO 27001, ISO 27701, and ISO 42001 (the AI management standard), plus GDPR and CCPA alignment. The registered entity is Harvey AI Corporation. Its published privacy, terms, and subprocessor pages were not reachable in this crawl, so the vendor-level detail is thinner than the certification list.

Most of Harvey's press in the last year is about money and momentum: successive rounds at $5B, $8B, and $11B valuations, coverage in CNBC and TechCrunch, and a spot on Time's Most Influential Companies list for 2025. The company's own newsroom fills in the product and hiring beats.

The links below run from the funding announcements to a CTO interview and a look at how Harvey hires, giving a fair picture of both the capital story and the team behind it.