Overview
Harvey leverages advanced generative AI, built on customized versions of OpenAI's GPT models, fine-tuned with legal data, and integrates foundation models from Anthropic and Google. It assists lawyers and professional services firms with tasks such as contract analysis, due diligence, litigation support, regulatory compliance research, document summarization, comparison, and drafting. The platform has shifted heavily toward agentic AI — tools that can independently complete multi-step tasks on a user's behalf — and Harvey now grows embedded legal engineering teams that work directly with client firms to build custom workflows. It can be further trained on a firm's own data and templates for more specialized outputs. Harvey's Workflow Builder enables firms to create tailored AI agents adaptable to specific legal workflows. As of March 2026, Harvey raised $200M at an $11 billion valuation (up from $8B in December 2025), with over 100,000 lawyers across 1,300+ organizations using the platform. Total funding has surpassed $1 billion.
Use cases
Primary: Automating and accelerating legal research, drafting initial document versions, analyzing large volumes of contracts for due diligence.
Other use cases:
- • Litigation support (e.g., summarizing depositions, identifying key arguments)
- • Compliance monitoring
- • Answering complex legal questions with citations
- • Knowledge management within firms.
AI capabilities
- → Generative AI
- → Natural Language Processing (NLP)
- → Machine Learning (ML)
- → Document generation
- → Summarization
- → Q&A based on legal documents/corpus
- → Legal research assistance
- → Clause identification
- → Data extraction
- → Predictive analytics (potential case outcomes).
Pros & Cons
Pros
- ✓ Significant time savings on research and drafting
- ✓ Potential for increased accuracy (though requires review)
- ✓ Handles complex legal tasks
- ✓ Scalable for large firms
- ✓ Strong security focus (Azure, SOC 2, ISO 27001)
- ✓ High investor confidence
- ✓ Enhances lawyer productivity allowing focus on strategic work.
Cons
- ! High cost (not publicly disclosed, likely significant investment)
- ! Potential for AI "hallucinations" or inaccuracies requiring careful human review
- ! Requires learning curve/training
- ! Integration with existing firm systems can be complex
- ! Primarily beneficial for legal professionals (specialized)
- ! Concerns about data privacy/confidentiality (though heavily addressed)
- ! Can be perceived as a "black box"
- ! Stealthy approach (limited public demos/press visibility).
Pricing
Model: Custom Enterprise SaaS subscription. Pricing is not publicly disclosed and tailored to the firm's size, usage, and required features/custom models.
Pricing details: Not publicly available. Custom enterprise pricing requiring significant annual commitment, typically with long-term contracts. As of March 2026, Harvey is valued at $11 billion (up from $8B in December 2025) and serves 100,000+ lawyers across 1,300+ organizations.
Integrations
- • Microsoft Azure (hosting)
- • Microsoft SharePoint/OneDrive (document management)
- • Microsoft 365 Copilot (routing queries from Teams etc.)
- • Microsoft Word (Add-in for drafting/editing)
- • Likely integrates with other Document Management Systems (DMS)
- • Contract Lifecycle Management (CLM) tools
- • And e-discovery software via API or custom development. Specific off-the-shelf integrations beyond Microsoft are not widely publicized.
What sets it apart
- ★ Close partnership and early access to OpenAI technology
- ★ Custom-built models tailored for specific firms/tasks
- ★ Focus on complex, high-value legal work for elite firms
- ★ Strong venture backing and high valuation ($11 billion as of March 2026; over $1 billion in total funding raised)
- ★ High-profile partnerships (Allen & Overy, PwC, Ashurst, etc.)
- ★ Runs on secure Microsoft Azure infrastructure
- ★ Workflow Builder for creating tailored AI agents
- ★ Integration of multiple foundation models (OpenAI, Anthropic, Google).
Compliance & security
SOC 2 Type II, ISO 27001. Also mentions adherence to GDPR and CCPA.