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About Harvey

Harvey is an enterprise legal AI platform built on frontier language models with legal-specific scaffolding, used by more than 1,000 law firms and in-house legal teams across 60 countries, including most of the AmLaw 100. The platform is organized around five core surfaces: Assistant (a chat interface for legal research, drafting, and document Q&A), Vault (secure document storage with bulk analysis and grounded question-answering), Knowledge (research across complex legal, regulatory, and tax domains), Agents (purpose-built automations that execute multi-step legal work end to end), and Harvey for Word (inline drafting assistance). Named customers include Deutsche Telekom, Reed Smith, Syngenta, PwC UK, Allen & Overy, and Vinson & Elkins.

Harvey is designed for the workflows of large law firms and corporate legal departments: multi-jurisdictional due diligence, contract analysis and negotiation support, regulatory research, litigation preparation, and firm-specific knowledge management. Vault syncs directly with document repositories like iManage, SharePoint, and Box, letting legal teams ground AI answers in their own precedent banks, templates, and prior work product rather than generic training data. The platform carries enterprise-grade security certifications including SOC 2 Type II, ISO 27001, ISO 27701, ISO 42001, and GDPR/CCPA compliance controls.

Harvey does not publish self-serve pricing and operates exclusively through an enterprise sales process, which is its most-cited drawback among smaller firms. Reported costs run roughly $500 to $2,000 per seat per month depending on deployment size and module selection, typically with 20-50 seat minimums and annual contracts in the tens to hundreds of thousands of dollars. This makes Harvey a strong fit for AmLaw 100 firms and Fortune 500 legal departments with dedicated AI budgets, but generally out of reach for solo practitioners, small firms, and lean in-house teams, who are better served by lower-cost alternatives with transparent, published pricing.

Key Features

  • Assistant chat interface for legal research, drafting, and document Q&A
  • Vault for secure bulk document storage and analysis with grounded Q&A
  • Knowledge module for cross-domain legal, regulatory, and tax research
  • Purpose-built Agents that execute multi-step legal workflows end to end
  • Harvey for Word inline drafting and editing
  • Direct sync with iManage, SharePoint, and Box document repositories
  • Firm-specific precedent and template grounding via Knowledge
  • Harvey Mobile for on-the-go work capture
  • Shared Spaces for cross-organization collaboration
  • Command Center analytics and firmwide AI usage benchmarking

Pros

  • Deep legal-domain training that understands nuanced multi-jurisdictional questions
  • Vault grounds answers in a firm's own documents rather than generic web data
  • Extensive enterprise security certifications (SOC 2 II, ISO 27001/27701/42001)
  • Used and validated by major AmLaw 100 firms and Fortune 500 legal departments
  • Broad platform scope covering research, drafting, due diligence, and workflow automation

Cons

  • No public pricing; requires a lengthy enterprise sales process to get a quote
  • High seat minimums (typically 20-50) make it inaccessible to solo and small firms
  • Can produce incorrect citations or fabricated case references if not fact-checked
  • Renewal costs commonly increase 10-25% annually without a contractual cap
  • No self-serve signup or free trial for individual practitioners

Pricing

Harvey does not publish self-serve pricing; all plans require contacting sales for a custom quote. Third-party market analysis and customer disclosures place per-seat costs at roughly $500-$2,000/month depending on firm size and modules selected, with common seat minimums of 20-50 users on 12-month contracts. Typical annual contract values range from $50,000 for smaller deployments up to $300,000+ for large AmLaw 100 rollouts, with the median enterprise customer reportedly paying around $175,000/year. Implementation, custom-model training, and onboarding are typically billed as a separate services line. A metered pay-as-you-go option is also available as an alternative to flat per-seat pricing.

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Frequently Asked Questions

No. Harvey does not offer a free trial or self-serve signup. Access requires going through an enterprise sales process, typically including a pilot program before committing to an annual contract.

Harvey does not publish pricing. Third-party estimates put per-seat costs at roughly $500-$2,000/month depending on firm size and modules, with typical annual contracts ranging from $50,000 to $300,000+.

Harvey targets large law firms (particularly AmLaw 100) and Fortune 500 in-house legal departments with dedicated AI budgets and procurement teams, rather than solo practitioners or small firms.

Harvey supports legal research, contract drafting and review, due diligence, memo writing, case law analysis, and multi-step workflow automation, grounded in a firm's own documents via Vault.

Harvey is trained on legal-specific data and performs well on complex research, but like all generative AI it can produce hallucinated citations, so outputs require lawyer review before use.