AI Agent Index
ByHeather MacAvelia·Last verified Jul 6, 2026
Harvey AI logo

Harvey AI

4.7/ 5

by Harvey

Independently Reviewed
Visit harvey.ai

Enterprise legal AI platform with Harvey Agents executing end-to-end legal work. $1.22B raised, $11B valuation, $190M ARR. 142K+ professionals. SOC 2 Type II + ISO 27001.

From

Custom

custom

GitHub

Stars

G2

4.8 / 5

2 reviews ↗

MCP

No

Compatible

Harvey is an enterprise legal AI platform founded in 2022 by Winston Weinberg, a former securities and antitrust litigator, and Gabriel Pereyra, a former research scientist at DeepMind and Meta AI. The platform has raised $1.22 billion across 10 rounds from Sequoia Capital, Andreessen Horowitz, Kleiner Perkins, GIC, Coatue, OpenAI, and Google, reaching an $11 billion valuation in March 2026. Harvey serves 142,000+ professionals with 92% monthly adoption rates and reached $190 million in annual recurring revenue by January 2026. Named enterprise clients include A&O Shearman, PwC, CMS, NBCUniversal, HSBC, Adecco Group, Dentsu, Cuatrecasas, Burges Salmon, Dentons, Reed Smith, KKR, Bridgewater, Deutsche Telekom, Procter and Gamble, Comcast, Merck KGaA, Vinson and Elkins, and Macfarlanes among others. The platform was named to the CNBC 2025 Disruptor 50 list. Core products include Harvey Agents for end-to-end legal work execution, Assistant for document analysis and drafting, Vault for secure document storage and bulk analysis up to 100,000 documents, Knowledge for legal, regulatory, and tax research, Contract Intelligence for insights and negotiation support, Command Center for analytics and benchmarking, Harvey Mobile, Shared Spaces for cross-organization collaboration, and the Ecosystem integration layer. Harvey integrates deeply with the enterprise legal technology stack through the Ecosystem product. Document management integrations include iManage, NetDocuments, and SharePoint at action level, meaning Harvey creates, reads, and updates documents rather than operating read-only. Legal research databases include Westlaw and LexisNexis, plus firm-specific precedent libraries. Microsoft 365 integration launched in June 2026, embedding legal intelligence directly inside the Microsoft Office environment. Harvey Agents operate across these connected systems to execute end-to-end workflows spanning document review, research, analysis, and drafting. Harvey Mobile provides on-the-go access. The platform is designed around accessing Harvey where attorneys already work rather than requiring a switch to a new interface. Data can be hosted in EU, Switzerland, US, or Australia for data residency requirements. No MCP server or public developer API is published. Pricing is enterprise custom with no self-serve tier or public pricing page. Typical annual contracts run six figures based on firm size and usage patterns. Deployment requires a dedicated implementation process including security review, custom model configuration, integration with firm document management systems, and attorney training. Firms must engage Harvey sales for specific quotes. The enterprise-only model means solo practitioners and small firms cannot access the platform. Harvey is designed for large law firms and corporate legal departments with the budget and infrastructure for enterprise AI deployment. Solo practitioners and small firms needing affordable legal AI should evaluate Spellbook (custom pricing, demo-gated, 4,500+ teams in 80+ countries) or Consensus ($12/mo for academic legal research). Firms wanting plaintiff-specific workflows including medical chronologies, demand letters, and mass tort screening should evaluate Eve (custom pricing, $163M raised, plaintiff-only). Firms already in the Thomson Reuters ecosystem may find CoCounsel ($428/mo bundled with Westlaw) provides tighter integration with existing Westlaw research workflows. The 4 to 12 week deployment timeline and custom pricing model create significant evaluation friction for firms early in their AI adoption journey. As of Q3 2026, Harvey launched Microsoft 365 integration in June 2026, embedding legal intelligence directly inside the Microsoft Office environment. Harvey raised $200M at an $11B valuation in March 2026 co-led by GIC and Sequoia, bringing total funding to $1.22B across 10 rounds. ARR reached $190M by January 2026, nearly doubling from $100M in August 2025. Harvey Agents launched as the flagship agentic product, executing complex legal work end-to-end without step-by-step attorney direction. New products added since 2025 include Vault, Knowledge, Contract Intelligence, Command Center, Harvey Mobile, Shared Spaces, and the Ecosystem integration layer. The platform holds SOC 2 Type II, ISO 27001, and ISO 42001 certifications, is GDPR and CCPA compliant, and was the first AI startup to certify under the EU-US Data Privacy Framework. All customer data is contractually guaranteed never to be used for model training. Red team testing is conducted by Bishop Fox. G2 shows 2 reviews at 4.8 and Gartner Peer Insights shows 6 ratings at 4.6, though review volume significantly understates platform adoption at 142,000+ professionals.

Pricing

custom

Segment

enterprise

Setup

complex

Verified

Jul 6, 2026

Transparency

Quote Only

Contract

Annual Only

Data training

Not Trained

Autonomy

Human Optional

Capabilities

deep-researchdata-analysiscitationsautonomous

Pros & Limitations

Editorial assessment

Pros

  • Harvey Agents execute complex legal work end-to-end: from contract analysis and due diligence through document drafting and research, agents create plans, execute across connected systems, and deliver results without step-by-step attorney direction. This represents the highest autonomous capability of any legal AI platform in the index.
  • $1.22B raised from Sequoia, Andreessen Horowitz, Kleiner Perkins, GIC, and OpenAI at $11B valuation with $190M ARR. This is the strongest funding, revenue, and institutional backing of any legal AI company, with named enterprise clients including Dentons, KKR, Bridgewater, PwC, Deutsche Telekom, and Procter and Gamble alongside the majority of top global law firms.
  • Action-level DMS integration creates, reads, and updates documents in iManage, NetDocuments, and SharePoint with research grounded in Westlaw and LexisNexis. Harvey participates in the full document lifecycle of legal matters rather than operating as a standalone research tool.

Limitations

  • Enterprise-only pricing with no self-serve option: typical annual contracts run six figures, making Harvey inaccessible for solo practitioners and small firms. Spellbook (custom pricing, demo-gated) and Consensus ($12/mo) provide accessible entry points for basic legal AI capabilities.
  • Deployment requires 4 to 12 weeks including firm security review, custom model configuration, DMS integration, and attorney training. This is not a tool teams can activate and evaluate quickly, creating friction for firms weighing AI adoption against faster-deploying alternatives.
  • Review volume significantly understates actual adoption: 2 G2 reviews and 6 Gartner ratings as of July 2026 despite 142,000+ active professionals. Procurement teams relying on review platforms for vendor evaluation will find thin public evidence relative to deployment scale.

Technical Details

Deployment
webapi
Model architectureProprietary (multi-model, custom-trained on legal corpora)
Avg setup time4-12 weeks (firm security review, custom model configuration, DMS integration, attorney training)
Autonomous rateHarvey Agents execute complex legal work end-to-end: agents create plans, execute across connected document management and research systems, and deliver results autonomously. Contract Intelligence surfaces insights and negotiation support. Knowledge researches legal, regulatory, and tax questions across domains. Vault bulk-analyzes document sets at scale. 142,000+ professionals with 92% monthly adoption rate.
Integrations
Microsoft 365iManageNetDocumentsSharePointGoogle DriveSalesforceWestlawLexisNexis
Security
SOC 2 Type IIISO 27001ISO 42001GDPRCCPA

Similar agents

Rating

4.7/ 5

Editorial score

How we score this →

Score breakdown

AutCap 5 · IntDepth 5 · PriceTrans 2 · IndEvid 5 · SetupAcc 2 = 4.70

Industries

LegalEnterpriseB2B

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