Legal AI

Harvey

Domain-tuned AI for law firms: research, drafting, diligence, and agentic legal work.

Harvey sells specialized AI to the least forgiving software buyers in professional services: more than 100,000 lawyers across 1,300-plus organizations in 60-plus countries use it for research, drafting, and multi-step agentic workflows like diligence review. Built on OpenAI models — the OpenAI Startup Fund was an early backer — it reached an $11 billion valuation on a $200 million round co-led by GIC and Sequoia, making it legal tech's biggest venture bet.

Best for

Big Law and sophisticated in-house teams with the matter volume and billable rates to absorb reported four-figure monthly seat costs. Firms wanting a cheap per-seat experiment should look elsewhere — reported 20-seat minimums and annual commitments make Harvey an institutional purchase.

Thomson Reuters' CoCounsel arrives bundled with Westlaw's research authority; Spellbook undercuts on price for contract work inside Word. Harvey's counter is workflow depth — agentic multi-document diligence, matter workspaces, firm-specific tuning — plus the credibility of being the platform elite firms standardized on first, with industry reporting putting adoption at about half the Am Law 100. It behaves like a professional-services platform, not a chatbot with a legal system prompt.

Core features

Legal research

Research and analysis across case law, contracts, and firm knowledge, with agentic workflows that chain multi-document review tasks.

Drafting workflows

First drafts, redlines, and matter-specific document work tuned on legal language rather than general web text.

Enterprise controls

Security, confidentiality, and administration built for privileged client material across large firm deployments.

Pros

+ Purpose-built legal workflows — agentic diligence, matter workspaces, firm-specific tuning — that generic assistants don't replicate
+ Adoption across 1,300+ organizations including, per industry reporting, about half the Am Law 100 — reference customers rivals can't match
+ Confidentiality architecture and security posture designed for privileged material, the threshold requirement for legal buyers

Watchouts

- Reported $1,200+/seat/month with ~20-seat minimums and no published pricing prices out small firms entirely
- Citation accuracy remains legal AI's open wound — every output needs qualified attorney review before it touches a filing

Pricing

enterprise

Contact sales — reported from ~$1,200/lawyer/mo, ~20-seat minimum

Harvey publishes no price list; all figures come from industry reporting and customer disclosures. Reported: $1,200–$1,500/seat/month for mid-market firms, $1,500–$2,000+ at Am Law 100 scale, ~$2,400 with LexisNexis integration, 12-month commitments, and annual contracts typically $50K–$300K+. Quotes are reportedly negotiable against competing offers. Verified unpublished on harvey.ai, August 2026.

Full Harvey pricing breakdown →

Discovery tags

Legal Research WritingApplication LayerAgent Layer

Company context

Harvey builds legal-specific AI for law firms and in-house teams; backed by the OpenAI Startup Fund, valued at $11B.

View Harvey

TECHi verdict

Harvey won the credibility race in legal AI — OpenAI backing, an $11 billion valuation, and 100,000-plus lawyers are not accidents — but buyers should be clear-eyed about what the premium buys. Reported pricing of $1,200-plus per seat per month is several times a general-purpose enterprise AI seat, and the justification is workflow fit and confidentiality posture, not raw model quality; the underlying intelligence is largely OpenAI's. For a large firm running diligence at volume, the math can genuinely work — one saved associate-week per matter covers a lot of seats. For small firms and solos, CoCounsel or Spellbook delivers most of the drafting value at a fraction of the cost. And no vendor, Harvey included, has made unsupervised legal output defensible: a lawyer still signs everything.

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Maker

Company

HarveyHarvey builds legal-specific AI for law firms and in-house teams; backed by the OpenAI Startup Fund, valued at $11B.

Sources

Official product page

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Frequently asked

What is Harvey?

Domain-tuned AI for law firms: research, drafting, diligence, and agentic legal work.

Who builds Harvey?

Harvey is built by Harvey.

How much does Harvey cost?

Harvey uses enterprise. Current tiers: Contact sales — reported from ~$1,200/lawyer/mo, ~20-seat minimum. Check the official site before buying — AI pricing changes often.