Harvey raised $160 million in Series F funding led by Andreessen Horowitz, valuing the company at $8 billion, marking its third major fundraise in 2025.
The SaaS News 2025-12-05
HA
Harvey is an AI platform designed specifically for legal professionals, providing tools for document analysis, contract review, legal research, and workflow automation.
Domain-specific AI built for legal work with enterprise-grade security and customizable workflows that integrate seamlessly across legal teams' existing tools
Legal Agent
Content: Text
Pricing: Subscription
Security & Compliance
SOC 2 ✓ Verified
GDPR ✓ Compliant
HIPAA No evidence found
No Training Commitment No evidence found
Other Certifications:
ISO27001SOC2Type2
Sources: Trust Center
Traction Signals
LinkedIn Followers Unknown
Total Funding $160M
Latest Round Series F
Company Info
Target Audience
Law firms, corporate legal departments, and in-house legal teams
Headquarters USA
Founded 2022
Use Cases
- • contract review and drafting
- • legal research
- • due diligence
- • litigation support
- • document analysis
- • workflow automation
Recent News
Harvey announced plans to develop Memory, a product that will allow users to retain context of their work including matter details and working preferences for greater consistency and efficiency.
LawSites 2026-01-08
Harvey reached $190 million in annual recurring revenue and announced over 1,000 customers while building a new Memory capability for personalized AI outputs.
Artificial Lawyer 2026-01-08
Known Customers
DLA Piper Verified
PricewaterhouseCoopers LLP Verified
A&O Shearman Verified
Ashurst Verified
Mayer Brown Verified
Classification Rationale
All 3 models unanimously agree on AI Native classification with high confidence (0.93-0.96). All rationales consistently describe Harvey as a legal AI assistant where the AI interaction is the core product - users directly query the AI for legal research, document analysis, and drafting. All models agree on Text content, Agent function (appropriate for legal research and document generation capabilities), Legal vertical, High data exposure risk (handling sensitive legal documents), and Subscription pricing. Strong consensus across all dimensions.