Skip to main content
ToolResearchenterpriseactive8-8.9
8.3/10Strong
Active

Contact sales (reported ~$1,000-$1,200 per lawyer/month)

Best plan

Contact sales (reported ~$1,000-$1,200 per lawyer/month)

Risk: Adoption should be evaluated by matter-level workflow...

See Harvey pricing

Editorial · no paid placements

Should you use it?

Harvey is the legal-specialist AI platform most AmLaw 100 firms have already bought. 142,000+ professionals across 60 AmLaw 100 firms, 500+ in-house legal teams, and 50 asset managers run on Assistant, Vault, Workflows, Knowledge, Agents, Contract Intelligence, Command Center, and Harvey Mobile. $11B valuation after the $200M March 30 raise; ARR was reported at $190M in January 2026. Pick it if the firm is large enough to justify enterprise procurement and wants document-grounded drafting, review, research, deployment analytics, and purpose-built legal agents. Skip it for solo practice or general writing needs.

  • Buy ifContract analysis, due diligence, and M&A document review
  • PickContact sales (reported ~$1,000-$1,200 per lawyer/month)
  • Skip ifSolo practitioners or small firms priced out of enterprise contracts

Plan guidance

What to buy

Best planContact sales (reported ~$1,000-$1,200 per lawyer/month)

Watch: Adoption should be evaluated by matter-level workflow...

Price rangeContact sales (reported ~$1,000-$1,200 per lawyer/month)

Contact sales

Upgrade only ifNot for solo practitioners or small firms priced out of enterprise contracts

Adoption should be evaluated by matter-level workflow...

Current pricing source: Harvey June 2026 product update

Fit

Use it for this, skip it for that

Best for

  • Contract analysis, due diligence, and M&A document review
  • Document-grounded legal drafting via Vault
  • Pre-built legal workflow agents (litigation, regulatory, fund formation)
  • Coordinated legal work across firm and external counsel via Shared Spaces

Avoid if

  • Solo practitioners or small firms priced out of enterprise contracts
  • Users wanting a general-purpose chatbot
  • Firms that need fully on-prem deployment (Harvey is cloud-native)
  • Anyone wanting self-serve signup or published pricing
Watch out
Adoption should be evaluated by matter-level workflow fit, citation/verification discipline, confidentiality controls, and lawyer review, not just model benchmark claims.

Recent changes

Only what affects the decision

  1. Enterprise

    Reverified enterprise-only posture and June product...

    Harvey June 2026 product update
  2. Enterprise

    Reverified contact-sales model and current product...

    Harvey pricing / sales-led official site
  3. Enterprise

    Verified; reported third-party ACV still roughly $1,000-$1,200 per lawyer per month with no public list price. Customer count now stated at 142,000+ professionals across 60 AmLaw 100 firms

    Harvey pricing / sales-led official site

Alternatives

Best swaps

Build comparison
Proof and score mathVerified Jun 25

Proof

Why this recommendation is trusted

Source
Registered source
Freshness
Review due
Confidence
Low confidence
Verified
Review
Volatility
Volatile

Stale source harvey-platform.

Editorial score

Unweighted average of 4 axes · confidence high

  • Utility9/10

    How much real work it can do for a competent operator, end to end.

  • Value6/10

    What you get for the dollar relative to the closest alternative.

  • Moat9/10

    How hard it would be for a competitor to replicate the underlying advantage.

  • Longevity9/10

    How likely the product is to still be best-in-class 24 months out.

Verified facts

  1. Best ForBest for law firms and professional-services organizations that need document-grounded legal drafting, research, contract review, matter work, deployment analytics, and purpose-built legal agents across Harvey-owned and partner surfaces.
    highDrifts2026-06-25Harvey official site
  2. Pricing AnchorHarvey is enterprise-sales led; buyers should expect custom pricing tied to firm size, deployment scope, security review, and professional-services workflows. Reported third-party ACV remains unofficial and varies by deployment size; AiPedia uses it only as directional market context, not Harvey list pricing.
    highVolatile2026-06-25Harvey platform
  3. Watch Out ForAdoption should be evaluated by matter-level workflow fit, citation/verification discipline, confidentiality controls, and lawyer review, not just model benchmark claims.
    highDrifts2026-06-25Harvey blog
  4. Enterprise ControlsSecurity and confidentiality review is central because Harvey targets sensitive matters and professional-services data; SOC 2 Type II, ISO 27001, GDPR, CCPA, SAML SSO, audit logs, and IP allow-listing are baseline controls.
    highDrifts2026-06-25Harvey security
  5. Workflow SurfaceHarvey's platform is built for legal and professional services rather than generic consumer productivity, with Assistant, Vault, Knowledge, Agents, Contract Intelligence, Command Center, Harvey Mobile, and Ecosystem surfaces.
    highDrifts2026-06-25Harvey platform
Full review notesLong-form details, FAQ, and source history

Harvey is the enterprise AI platform built specifically for law firms and in-house legal teams. The product suite covers Assistant, Vault, Knowledge, Agents, Contract Intelligence, Command Center, and Harvey Mobile. That means legal chat, document-grounded drafting, firm research, contract review, deployment analytics, and mobile work live in one platform. 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 25, 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. Harvey’s June product update adds sharper contract-negotiation controls, larger document review support, and mobile workflow improvements.

Recent developments

  • June 11, 2026: Harvey’s June product update emphasized tighter contract workflow control, faster large-document review, and stronger mobile work support.
  • 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 productsAssistant · Vault · Knowledge · Agents · Contract Intelligence · Command Center · Harvey Mobile · Ecosystem
Model partnersOpenAI · Anthropic · Google · custom fine-tunes and task-specific model routing
Customers60 AmLaw 100 firms · 500+ in-house legal teams · 50 asset managers · 142,000+ professionals
Named customersA&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 modelEnterprise only · no self-serve tier · no published list price
Reported ACVRoughly $1,000-$1,200 per lawyer per month (third-party coverage, not official)
Free trialNone public. Pilots are sales-qualified.
ComplianceSOC 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 surfacesNative Harvey product · Harvey Mobile · Contract Intelligence · Command Center · MCP connector in Claude for Legal (Word, Outlook, Excel, PowerPoint)
FoundersWinston Weinberg (CEO) · Gabriel Pereyra (President)
FoundedJuly 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 2026-06-25 via the Harvey website, current Harvey product/blog pages, Harvey’s June product update, 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

HarveyChatGPT EnterpriseClaude for Work
Legal specializationNative · Vault, Workflows, legal-tunedGeneral-purposeGeneral-purpose
Document groundingVault on firm corpusFile upload per chatProjects per workspace
Pre-built legal agentsYes (M&A, DD, fund formation, more)NoNo
Pricing floorEnterprise onlyEnterprise (per-seat)Enterprise (per-seat)
Cost per lawyer~$1,000-$1,200/mo~$60/user/mo~$30/user/mo
Cross-firm collaborationShared SpacesNone nativeNone native
Custom fine-tunes on firm dataAvailableLimitedLimited
Best viewed asLegal vertical platformGeneralist defaultGeneralist 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 2026-06-25 against the Harvey website, Harvey’s June product update, Singapore announcement, May 28 Opus 4.8 product post, and Contract Intelligence and Command Center posts. Funding and distribution context was checked against 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 25, 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.

ShareLinkedIn
Was this review helpful?
Embed this score on your siteFree. Links back.
Harvey editorial score badge
<a href="https://aipedia.wiki/tools/harvey/" target="_blank" rel="noopener"><img src="https://aipedia.wiki/badges/harvey.svg" alt="Harvey on aipedia.wiki" width="260" height="72" /></a>
[![Harvey on aipedia.wiki](https://aipedia.wiki/badges/harvey.svg)](https://aipedia.wiki/tools/harvey/)

Badge value auto-updates if the editorial score changes. Attribution via the link is required.

Cite this pageFor journalists, researchers, and bloggers
According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/harvey/)
aipedia.wiki Editorial. (2026). Harvey: Editorial Review. aipedia.wiki. Retrieved August 3, 2026, from https://aipedia.wiki/tools/harvey/
aipedia.wiki Editorial. "Harvey: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/harvey/. Accessed August 3, 2026.
aipedia.wiki Editorial. 2026. "Harvey: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/harvey/.
@misc{harvey-editorial-review-2026, author = {{aipedia.wiki Editorial}}, title = {Harvey: Editorial Review}, year = {2026}, publisher = {aipedia.wiki}, url = {https://aipedia.wiki/tools/harvey/}, note = {Accessed: 2026-08-02} }
Spotted an error or want to share your experience with Harvey?

Every tool page is re-verified on a recurring cycle, and corrections land faster when readers flag them directly. If you spot a stale fact, a missing capability, or have used Harvey and want to share what worked or didn't, the editorial desk reviews every message sent through this form.

Email editorial@aipedia.wiki
Report outdated infoHelp us keep this page accurate