Last updated: 2026-06-04
Harvey serves 60 of AmLaw 100 firms with contract analysis, legal research, and workflow agents. Enterprise-only: $50K-$300K/year minimum. SOC 2, ISO 27001, GDPR certified.
Harvey is an enterprise legal AI platform founded in 2022 that serves 60 of the AmLaw 100 and Fortune 500 companies. Pricing starts at $50K-$300K annually with minimum seat counts of 25-50 users. It processes 1.3 million documents daily and reduces contract review time by 80 percent with citation-backed legal research. Available on web, iOS, Android, and integrated into Microsoft Word and Outlook.
Harvey is a generative AI platform purpose-built for law firms and in-house legal teams. Founded in summer 2022 by Winston Weinberg (O'Melveny & Myers litigator) and Gabriel Pereyra (Google DeepMind researcher), Harvey now serves 142,000+ legal professionals across 60 of the AmLaw 100 and Fortune 500 companies. The platform uses proprietary domain-specific training on Azure OpenAI to deliver contract analysis, legal research, document drafting, and workflow automation with source-cited answers. Harvey's four core products address the full legal lifecycle. Assistant handles document analysis and drafting with real-time legal research. Vault securely bulk-analyzes thousands of documents simultaneously for due diligence and M&A. Knowledge researches complex regulatory and tax questions with citations tied to case filings and statutes. Workflow Agents execute multi-step legal work end-to-end, from contract review to risk scoring. The platform processes 1.3 million documents daily and handles 200,000+ queries per day across 1,500 countries. Key use cases are contract analysis (80x faster than manual review), due diligence (document discovery and risk assessment), litigation support (document clustering and privilege review), and regulatory compliance (automated policy checking). Best for in-house counsel at Fortune 500s and AmLaw 100 firms managing high-volume, high-stakes legal work. Solo practitioners and small firms cannot access it: minimum annual commitment starts at $50K with seat minimums of 25-50 users. Harvey launched mobile apps in September 2025 with voice-to-prompt and document scanning. The platform integrates with Microsoft Word, Outlook, and SharePoint natively. MCP (Model Context Protocol) support allows external AI assistants like Claude to embed Harvey's legal Q&A and document analysis into their own workflows. Raised $1.22B in funding; valued at $11 billion in March 2026 Series G led by GIC and Sequoia. Compliance: SOC 2 Type II (2026 audit), ISO 27001, ISO 42001 (AI management), GDPR and CCPA certified, EU-US Data Privacy Framework compliant. Zero-training guarantee on customer data. Regional data residency in EU, US, or Australia. Customers report 92% monthly active usage and save 20+ hours per month on average. No public pricing, enterprise sales only.
Enterprise-only, custom pricing. Estimated $50K-$300K+ per year. $1,000-$1,200 per user per month reported for large deployments. Minimum seat count 25-50. Implementation and training fees add 30-60% overhead. Annual renewal contracts typically include 10-25% uplift.
Harvey is a legal AI platform founded in 2022 by Winston Weinberg (O'Melveny & Myers litigator) and Gabriel Pereyra (Google DeepMind researcher). It serves 142,000+ legal professionals at 60 of the AmLaw 100 and Fortune 500 companies. Harvey automates contract analysis, legal research, due diligence, document drafting, and workflow automation. The platform processes 1.3 million documents daily and handles 200,000+ queries per day. Users report 92 percent monthly active usage and save 20+ hours per month on average.
Harvey pricing is enterprise-only and custom. Estimated cost is $50,000 to $300,000+ annually depending on firm size, seat count, and module selection. Reported per-seat cost is $1,000-$1,200 per month for large enterprise deployments. Minimum seat counts are 25-50 users. Implementation and training fees add 30-60 percent overhead. Annual renewal contracts typically include 10-25 percent uplift. No free trial or self-serve pricing available; contact sales for a quote.
Harvey's four core products are Assistant (document analysis and drafting), Vault (bulk document analysis for 1.3M files daily), Knowledge (legal research with citations to statutes and case law), and Workflow Agents (pre-built and custom agents that execute complex legal work end-to-end). Additional features include Mobile (iOS/Android with voice-to-prompt launched September 2025), MCP integration for embedding Harvey into other AI agents, Microsoft Office integration (Word, Outlook, SharePoint), and Command Center analytics. The platform provides sentence-level citations so every claim is verifiable against actual legal sources.
No, Harvey does not offer a free tier, freemium plan, or free trial. It is an enterprise-only product with custom pricing starting at $50,000-$300,000+ annually. Minimum seat counts of 25-50 users apply. Harvey is designed exclusively for AmLaw 100 law firms, Fortune 500 in-house counsel, and large enterprise legal departments. It is not accessible to solo practitioners, small firms, or budget-conscious legal teams.
The top three alternatives depend on your use case. For affordable per-seat pricing in Word, Spellbook costs $160/user/month and offers real-time clause suggestions. For policy-driven vendor contract review, LawGeex streamlines procurement and approval workflows. For firms needing custom machine learning models, Kira integrates with document management systems and supports custom playbooks. Other notable alternatives include 8am MyCase (case management), Relativity (document review), and Ironclad (approval workflows). Harvey is best for AmLaw 100 and Fortune 500 requiring comprehensive legal research, drafting, and workflow automation with citation verification.
Harvey is purpose-built for general counsel at Fortune 500 companies, partners at AmLaw 100 law firms, and legal operations leaders managing high-volume, high-stakes legal work. Ideal use cases are M&A due diligence, large-scale contract review, litigation support, and regulatory compliance automation. Teams with 25+ attorneys and annual legal budgets exceeding $50,000 are best fit. Harvey is NOT suitable for solo practitioners, small firms under 25 people, or organizations needing per-seat pricing under $1,000/month. It is also not HIPAA-compliant, so healthcare-sensitive documents require custom evaluation.
Yes, Harvey exposes its capabilities via Model Context Protocol (MCP), an open standard for AI integrations. External MCP-compatible clients like Claude can invoke Harvey's legal Q&A, Vault document analysis, and research knowledge sources natively. Harvey integrates natively with Microsoft Word (real-time suggestions, redline), Outlook, and SharePoint. It also connects to iManage (document management) and other enterprise systems. Missing integrations include Jira, Linear, Salesforce, HubSpot, and Slack. The platform offers APIs for custom integrations via professional services.
Harvey and LawGeex serve different legal workflows. Harvey is a comprehensive platform covering contract analysis, legal research, drafting, and workflow automation for complex legal work across litigation, M&A, and regulatory compliance. LawGeex specializes in policy-driven approval and routing for vendor contracts and procurement workflows, using pre-trained playbooks and fast turnaround (minutes vs. hours). Harvey is more expensive ($1,000-$1,200/user/month vs. LawGeex custom pricing) and requires deeper training but offers broader capabilities. Choose LawGeex for policy-aligned vendor review. Choose Harvey for end-to-end complex legal work at AmLaw 100 or Fortune 500 scale.