Harvey is the enterprise AI platform built specifically for law firms and in-house legal teams. The product suite covers Assistant (legal chat and drafting), Vault (secure document storage and retrieval-grounded drafting), Knowledge (firm-wide regulatory research), Agents (end-to-end execution of multi-step legal work), Contract Intelligence (contract intake, review, negotiation knowledge, and portfolio visibility), Command Center (deployment analytics and adoption intelligence), and Harvey Mobile (mobile access for remote work). All of it runs on models customized for legal use, with OpenAI as an early partner and seed investor and Anthropic as a 2026 distribution surface via MCP.
The company was founded in 2022 by Winston Weinberg, a former O’Melveny litigator, and Gabriel Pereyra, a former Google DeepMind and Meta researcher. By January 2026 Harvey hit $190M in annual recurring revenue. In March 2026 it raised $200M at an $11B valuation led by GIC and Sequoia, bringing total funding above $1B.
As of June 12, 2026, Harvey reports 142,000+ professionals using the platform across 60 AmLaw 100 firms, over 500 in-house legal teams, and 50 asset managers. More than 25,000 custom agents run on Harvey today, and Harvey’s June blog shows the company expanding product breadth and APAC presence.
Recent developments
- June 2, 2026: Harvey opened a Singapore office, adding to Bengaluru and Sydney in APAC and naming WongPartnership, Rajah & Tann, Drew & Napier, Braddell Brothers, Lee & Lee, Oon & Bazul, TSMP, the Attorney-General’s Chambers, Airwallex, PwC, and the Singapore Judiciary as regional/customer signals.
- May 28, 2026: Harvey made Claude Opus 4.8 available in Harvey, reporting gains on Harvey’s Legal Agent Benchmark and BigLaw Bench and positioning the model for eligible US and EU clients first.
- May 21, 2026: Harvey introduced Contract Intelligence for in-house teams, covering intake, contract review, negotiation positions, clause/playbook learning, and portfolio-wide contract visibility.
- May 20, 2026: Harvey introduced Command Center for legal-ops and innovation owners, with usage transparency, peer benchmarking, agentic deployment insights, and release recommendations.
- May 12, 2026: Anthropic launched Claude for Legal with Harvey as a first-party MCP connector. The integration puts Vault-grounded retrieval and Harvey Workflows inside the Word, Outlook, Excel, and PowerPoint surfaces Claude embeds in via Microsoft 365. Freshfields, Quinn Emanuel, Holland & Knight, and Crosby joined as launch customers.
- April 30, 2026: Legora added $50M from NVentures and Atlassian, reaching a $5.6B valuation. Harvey remains the larger legal-AI platform by reported valuation, but Legora is now the clearest scaled challenger.
- March 30, 2026: Harvey closed a $200M Series E at an $11B valuation led by GIC and Sequoia, taking total funding above $1B and confirming category-leader status.
System Verdict
Pick Harvey if the firm is an AmLaw 100 or equivalent and needs legal-domain AI with retrieval grounded on firm documents. Vault keeps drafting tied to the firm’s own precedent and client files. Agents and Workflows cover recurring heavy lifting such as due diligence, contract review, fund formation, drafting, and regulatory research. Contract Intelligence and Command Center add two buyer-facing 2026 signals: Harvey is moving from “legal chatbot” into contract operations plus deployment governance. The $11B valuation, $190M ARR, 60 AmLaw 100 firms, and 142,000+ professional users remain the clearest signs that the category leader has real institutional adoption.
Skip it if the firm is too small to justify a six-figure contract or needs a general-purpose assistant. Harvey has no published self-serve tier. Reported ACV sits around $1,000 to $1,200 per lawyer per month before any custom-model work, which prices out most boutiques and solo practitioners. For general drafting, ChatGPT or Claude cost a fraction.
Who pays which tier: everyone is Enterprise. The only decision is annual contract value, which scales with seat count, Vault/storage scope, product surface, workflow customization, implementation support, and whether the firm commissions custom model or agent work.
Key Facts
| Flagship products | Assistant · Vault · Knowledge · Agents · Contract Intelligence · Command Center · Harvey Mobile · Ecosystem |
| Model partners | OpenAI · Anthropic · Google · custom fine-tunes and task-specific model routing |
| Customers | 60 AmLaw 100 firms · 500+ in-house legal teams · 50 asset managers · 142,000+ professionals |
| Named customers | A&O Shearman · Reed Smith · Vinson & Elkins · O’Melveny · CMS · Cuatrecasas · Dentons · BakerHostetler · Deutsche Telekom · HSBC · NBCUniversal · Repsol · Syngenta · DLA Piper · Freshfields (Claude for Legal) · Quinn Emanuel (Claude for Legal) · Holland & Knight (Claude for Legal) · Crosby (Claude for Legal) |
| Pricing model | Enterprise only · no self-serve tier · no published list price |
| Reported ACV | Roughly $1,000-$1,200 per lawyer per month (third-party coverage, not official) |
| Free trial | None public. Pilots are sales-qualified. |
| Compliance | SOC 2 Type II · ISO 27001 · GDPR · CCPA · SAML SSO · audit logs · IP allow-listing |
| Funding | $200M at $11B valuation (March 30, 2026) · $1B+ total raised |
| ARR (Jan 2026) | $190M, up from $100M in August 2025 |
| Time saved (reported) | 20+ hours per user per month average |
| Distribution surfaces | Native Harvey product · Harvey Mobile · Contract Intelligence · Command Center · MCP connector in Claude for Legal (Word, Outlook, Excel, PowerPoint) |
| Founders | Winston Weinberg (CEO) · Gabriel Pereyra (President) |
| Founded | July 2022, San Francisco |
What it actually is
Harvey is a legal-domain AI platform, not a chatbot wrapper. Five things distinguish it from using ChatGPT Enterprise or Claude for Work directly:
First, Vault retrieves from a firm’s own document store (precedent, client files, contracts) and grounds drafting on those documents. That is the core deliverable law firms pay for. Generic LLMs hallucinate case law; Vault pulls from files the firm already owns.
Second, Agents and Workflows are pre-built task systems tuned for legal work. M&A due diligence, contract review, fund formation, litigation research, regulatory memos, and complex drafting are Harvey territory. Over 25,000 custom agents run on Harvey today, with long-horizon agents handling multi-step processes over days.
Third, Shared Spaces lets a firm’s lawyers and external counsel (or in-house teams plus their outside firms) collaborate on the same matter inside Harvey with permissions and audit trails.
Fourth, contract and deployment operations. Contract Intelligence turns executed agreements, playbooks, intake, review, and negotiation history into a repeatable system for in-house teams. Command Center gives legal-ops leaders visibility into usage, peer benchmarking, and rollout decisions.
Fifth, custom models and partner surfaces. Large firms can commission Harvey to tune workflows on firm-specific precedent and style. As of May 12, 2026, Harvey is also a first-party MCP connector inside Anthropic’s Claude for Legal, which embeds Claude across Word, Outlook, Excel, and PowerPoint.
When to pick Harvey
- Large law firm or in-house legal team. AmLaw 100 scale is the baseline. 500+ in-house teams also use it. If the firm has a dedicated innovation or legal-ops budget, Harvey is the default first call.
- Document-grounded drafting. Vault is the differentiator. Any workflow where outputs must cite the firm’s own precedent or a client’s own contracts is Harvey territory.
- Recurring heavy workflows. M&A due diligence, fund formation, contract review at volume. Workflow agents beat bespoke prompt engineering.
- Cross-firm coordination. Shared Spaces handles the in-house plus outside-counsel pattern with proper governance.
- Custom fine-tuned models. Firms with a distinctive drafting style or practice area can commission a custom model trained on their corpus.
When to pick something else
- Solo or small-firm practice: ChatGPT or Claude at $20/month each. Good enough for non-privileged research and first drafts. No six-figure contract.
- General-purpose legal research outside a firm: ChatGPT Plus plus a Westlaw or Lexis subscription. Harvey does not replace primary legal research tools.
- On-prem or air-gapped deployment: Harvey is cloud-native. Firms with absolute data-sovereignty requirements should look at Reka or other on-prem-capable enterprise LLM vendors.
- Enterprise content generation outside legal: Writer for marketing, comms, and knowledge work. Writer runs its own Palmyra models and is not legal-specialized.
- Contract-review-only use case at lower price: narrower point tools (not in our catalog at this tier) undercut Harvey on single-purpose contract analytics. Harvey wins on suite breadth, not per-feature cost.
Pricing
Pricing is enterprise contact-sales only. Harvey publishes no list price on harvey.ai.
Third-party coverage has historically reported annual contract values around $1,000 to $1,200 per lawyer per month, but Harvey does not publish list pricing and contract shape can vary materially by deployment size, geography, product mix, storage scope, workflow customization, and implementation support. Treat those numbers as directional market context, not a quote.
There is no free tier and no public free trial. Pilots run through enterprise sales.
Prices and product surfaces reverified 2026-06-12 via the Harvey website, current Harvey product/blog pages, and CNBC coverage of the March 2026 funding round.
What this buys: Assistant, Vault, Knowledge, Agents/Workflows, Contract Intelligence, Command Center, Harvey Mobile, Shared Spaces, SOC 2 Type II and ISO 27001 compliance, and access to multiple underlying frontier models plus any custom tuning Harvey supports for the deployment.
Against the alternatives
| Harvey | ChatGPT Enterprise | Claude for Work | |
|---|---|---|---|
| Legal specialization | Native · Vault, Workflows, legal-tuned | General-purpose | General-purpose |
| Document grounding | Vault on firm corpus | File upload per chat | Projects per workspace |
| Pre-built legal agents | Yes (M&A, DD, fund formation, more) | No | No |
| Pricing floor | Enterprise only | Enterprise (per-seat) | Enterprise (per-seat) |
| Cost per lawyer | ~$1,000-$1,200/mo | ~$60/user/mo | ~$30/user/mo |
| Cross-firm collaboration | Shared Spaces | None native | None native |
| Custom fine-tunes on firm data | Available | Limited | Limited |
| Best viewed as | Legal vertical platform | Generalist default | Generalist default |
Failure modes
- No public pricing. Every deal is bespoke. Comparing value across firms, or even across renewal cycles, requires back-channel intelligence.
- Price floor excludes small firms. At roughly $1,000+ per lawyer per month, Harvey is not a realistic purchase for most boutiques, regional firms, or solo practices.
- Cloud-only. Firms with strict data-residency or air-gap requirements cannot deploy Harvey on-prem.
- Hallucination risk remains. Vault grounding materially reduces hallucinations but does not eliminate them. Citations and case references still need lawyer review before filing.
- Model-vendor dependency is still partly opaque. Harvey has public ties to OpenAI, Anthropic, and other frontier-model providers, but end users do not always see which model is running which task. Procurement should ask how routing, fallback, pricing exposure, and data handling work by product surface.
- Opaque model routing. Which underlying model (OpenAI, Anthropic, Google, or custom) handles a given task is not always surfaced to the end user.
- Long procurement cycle. AmLaw-scale procurement, security review, and pilot design can run six to twelve months before go-live.
- Category competition intensifying. New legal-AI entrants are appearing monthly. Harvey’s lead is real but not unassailable on any single feature.
Methodology
This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies pricing and model details against primary sources, and generates the editorial analysis you are reading. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility x Value x Moat x Longevity, unweighted average). Last verified 2026-06-12 against the Harvey website, Harvey’s June 2 Singapore announcement, May 28 Opus 4.8 product post, Contract Intelligence and Command Center posts, the Harvey blog post on the $11B funding round, CNBC coverage, Reuters reporting on the March 2026 raise, and the May 12 Anthropic Claude for Legal launch coverage.
FAQ
What does Harvey cost? Enterprise contracts only. Harvey publishes no list price. Third-party reporting puts ACV roughly between $1,000 and $1,200 per lawyer per month, with large-firm deals running into the mid-six figures annually. There is no free trial.
Which underlying AI models does Harvey use? Harvey runs on a mix of frontier models (OpenAI, Anthropic, Google) plus custom fine-tunes. OpenAI was the seed investor and remains the deepest partner, though Harvey is not exclusively GPT-based.
Who uses Harvey? Sixty AmLaw 100 firms, over 500 in-house legal teams, 50 asset management firms, and 142,000+ professionals overall as of June 12, 2026. Named clients include A&O Shearman, Reed Smith, Vinson & Elkins, O’Melveny, CMS, Cuatrecasas, Dentons, BakerHostetler, DLA Piper, Deutsche Telekom, HSBC, NBCUniversal, and Singapore/APAC customers named in Harvey’s June 2 Singapore announcement. Freshfields, Quinn Emanuel, Holland & Knight, and Crosby came in as launch customers for the Harvey-via-Claude integration on May 12, 2026.
Is Harvey integrated with Claude? Yes. As of May 12, 2026, Harvey is a first-party MCP connector inside Anthropic’s Claude for Legal. That puts Vault-grounded retrieval and Harvey Workflows inside Claude’s Microsoft 365 integration (Word, Outlook, Excel, PowerPoint) alongside Relativity, Everlaw, Thomson Reuters CoCounsel, DocuSign, and Box. Harvey’s primary product surface remains its own platform; the Claude integration is an additional distribution channel.
What is Vault? A secure document store plus retrieval-grounded drafting. Upload firm precedent, client contracts, and matter files. Vault grounds LLM output on those documents, which reduces hallucinations relative to ungrounded chat.
What are Harvey Workflows? Pre-built task agents tuned for recurring legal work: M&A due diligence, contract review, fund formation, litigation research, regulatory memos. Over 25,000 custom agents run on Harvey today, including long-horizon agents that span multi-day processes.
Is Harvey secure enough for privileged client data? Harvey holds SOC 2 Type II and ISO 27001 certifications, and is GDPR and CCPA compliant, with SAML SSO, audit logs, and IP allow-listing as baseline enterprise controls. Major law firms including A&O Shearman, Reed Smith, and Vinson & Elkins have cleared it through procurement. On-prem deployment is not offered; the platform is cloud-native.
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