AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published Apr 7, 2026·Updated Sep 10, 2026
Independently verified against live vendor data on Sep 10, 2026.

Enterprise legal AI platform whose Harvey Agents run legal work end to end. Raised $550M at a $15.5B valuation in September 2026. 200K+ professionals. SOC 2 Type II + ISO 27001.

How we scored it

Autonomy

5/5

Integrations

5/5

Pricing clarity

2/5

Evidence

4/5

Setup

2/5

The facts

Pricing

Custom

GitHub

—

Stars

G2

4.3 / 5

28 reviews ↗

MCP

Server + client

Server + client

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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. In September 2026 Harvey raised $550 million at a $15.5 billion valuation, co-led by Diffusion and Lightspeed Venture Partners, following a $200 million round at an $11 billion valuation in March 2026. Its backers include Sequoia, Kleiner Perkins, Andreessen Horowitz, GIC, Coatue, GV, and the OpenAI Startup Fund. Harvey states that more than 200,000 professionals at over 2,400 law firms and in-house legal teams in 70+ countries use the platform. 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 Disruptor 50 list in 2025 and again in 2026. 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, Memory for carrying user preferences across Harvey, and the Ecosystem integration layer. Harvey integrates with the enterprise legal technology stack through the Ecosystem product. Document management integrations include iManage, NetDocuments, Google Drive, and SharePoint/OneDrive, letting users work with firm files inside Harvey and export results without downloading local copies. Research content from LexisNexis is available through a product partnership, alongside firm-specific precedent libraries, and an Intapp integration brings ethical-wall enforcement into Harvey. Word and Outlook add-ins bring Harvey into Microsoft Office, and Harvey is also available inside Microsoft 365 Copilot. A Connector Library opened in early access in June 2026, adding native Google Drive and Gmail connections and MCP connectors to iManage, NetDocuments, PitchBook, SS&C Intralinks DealCentre AI, Datasite, and Box. Harvey Agents operate across these connected systems to execute end-to-end workflows spanning document review, research, analysis, and drafting. 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 the EU, Switzerland, the US, or Australia for data residency requirements. Harvey publishes a first-party MCP server documented at developers.harvey.ai, exposing five tools that cover general legal questions, knowledge-source research, Vault project listing and Vault document analysis, with setup guides for Claude Web, Claude Desktop, Google Gemini and Microsoft 365 Copilot over OAuth. Harvey also works as an MCP client: its Connector Library connects to partner MCP servers, and admins set governance policies for which tool actions are permitted. A public developer API is also published, with OpenAPI specifications for the Vault and completion endpoints. Pricing is custom with no self-serve tier and no public pricing page, and firms must engage Harvey sales for a quote. Harvey does not publish a setup or implementation timeline, and no self-serve trial is offered on its site. It markets to mid-sized firms as well as large ones, but there is no plan a solo practitioner can buy online. Harvey is designed for law firms and corporate legal departments buying on an enterprise contract. Teams focused mainly on contract review and drafting should also evaluate Spellbook. Plaintiff firms that want medical chronologies, demand letters, and mass tort screening should evaluate Eve. Firms already in the Thomson Reuters ecosystem may find CoCounsel ($360/mo billed annually bundled with Westlaw) provides tighter integration with existing Westlaw research workflows. The custom pricing model and sales-led deployment create evaluation friction for firms early in their AI adoption journey. Current state Q3 2026: Harvey announced its $550 million round at a $15.5 billion valuation on September 9, 2026, and said the raise follows its first post-trained open-weight model and the launch of Harvey LAB, its Legal Agent Benchmark. The same day it announced that Guardrails AI is joining Harvey. Harvey Agents is the flagship agentic product. Harvey undergoes annual SOC 2 Type II and ISO 27001 audits, lists ISO 42001, ISO 27701, GDPR, and CCPA on its security page, and contractually guarantees through its Platform Agreement that customer data is not used for model training. External audits and testing are performed by firms including Schellman, NCC Group, and Bishop Fox. Review volume on G2 and Gartner Peer Insights remains small relative to the 200,000+ professionals using the platform.

Pricing

custom

Segment

Enterprise

Setup

complex

Verified

Sep 10, 2026

Transparency

Quote Only

Contract

Annual Only

Data training

Not Trained

Human in loop

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 drafting and research, agents plan the work, split large tasks across parallel agents, and return cited, review-ready output without step-by-step attorney direction. Scheduled Agents can also run recurring work in the background.
  • ✓Deep enterprise adoption and backing: Harvey states that more than 200,000 professionals at over 2,400 law firms and in-house legal teams use it, named clients include Dentons, KKR, Bridgewater, PwC, Deutsche Telekom, and Procter and Gamble, and it raised $550M at a $15.5B valuation in September 2026.
  • ✓Works where legal teams already work: iManage, NetDocuments, SharePoint, Google Drive and Box connections, Word and Outlook add-ins, LexisNexis research content, and MCP in both directions, with a first-party MCP server for outside assistants and MCP connectors that pull in PitchBook, Datasite and SS&C Intralinks data.

Limitations

  • –Enterprise-only pricing with no public price list and no self-serve plan, so every deployment starts with a sales conversation and buyers cannot compare cost before a demo. Spellbook and CoCounsel ($360/mo billed annually) are the closest alternatives for teams that want to compare.
  • –Harvey publishes no setup or implementation timeline and offers no self-serve trial, so firms cannot switch it on and evaluate it on their own before engaging Harvey sales. Its MCP connectors to outside tools launched in early access, and Harvey describes MCP governance as a shared responsibility with the firm admins who choose which tool actions are permitted.
  • –Independent review volume is small relative to adoption: the G2 and Gartner Peer Insights corpora each hold well under fifty reviews despite more than 200,000 professionals using the platform, so procurement teams relying on review sites will find thin public evidence.

Technical Details

Deployment
webapi
Model architectureProprietary (multi-model, custom-trained on legal corpora)
Avg setup timeNot published. Harvey states no setup or implementation timeline, and deployment is sales-led with no self-serve trial.
Autonomous rateHarvey Agents plan and execute legal work end to end, split large tasks across parallel agents, and return cited, review-ready output, while Scheduled Agents run recurring work in the background. Attorneys review the finished output rather than approving each step. Harvey publishes no production autonomous completion rate. Its Legal Agent Benchmark reports rubric pass rates on held-out research tasks, which measure model performance rather than resolution of customer work.
Integrations
Microsoft 365iManageNetDocumentsSharePointOneDriveGoogle DriveGmailBoxLexisNexisPitchBookDatasiteSS&C IntralinksAderantIntapp
Security
SOC 2 Type IIISO 27001ISO 42001GDPRCCPA

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Rating

4.4/ 5
★★★★★

Editorial score

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Recognition

MCP Server VerifiedListed 2026
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Industries

Legal

Built for

EnterpriseB2B

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