Harvey is a generative AI platform built specifically for legal professionals. It uses large language models fine-tuned for legal tasks across litigation, transactional law, and corporate compliance. The platform addresses the operational burden of document-heavy legal work by automating the initial layers of synthesis and extraction.
Users interact with Harvey through a natural language interface. They can upload contracts, briefs, or discovery materials. The platform extracts key provisions, compares document versions, summarizes depositions, and generates initial drafts of clauses and internal memos based on explicit user instructions.
Harvey operates on an enterprise data isolation model. All uploaded documents, user queries, and firm data are stored in segregated environments. No client data enters shared public AI training pools, which is a critical requirement for firms handling confidential client matters.
Documented enterprise clients include international law firm Allen & Overy (now A&O Shearman) and global professional services firm PwC. Harvey received initial backing from the OpenAI Startup Fund, followed by additional venture capital investment from prominent firms.
Pricing
Harvey does not publish pricing publicly. No free plan, free trial, or self-service tiers are listed on the website. All procurement requires direct engagement with Harvey’s enterprise sales team. Quotes are customized based on firm size, practice area requirements, and specific deployment scope.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Natural language legal research across case law and statutes
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Contract clause extraction and liability risk identification
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Side-by-side agreement comparison with discrepancy flagging
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Discovery and deposition transcript distillation into structured summaries
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Structured drafting of legal clauses, motions, and memos
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Custom model fine-tuning on firm-specific historical work product
Use Cases
M&A Due Diligence Review
Transactional teams upload large contract pools during acquisitions to locate change-of-control provisions or restrictive covenants. Harvey extracts the relevant clauses and compiles an initial review matrix. Attorneys focus analysis on flagged contracts rather than manual page-by-page scanning.
Litigation Discovery Analysis
Litigators preparing for trial query Harvey to find inconsistencies across thousands of pages of deposition transcripts and discovery responses. The platform maps conflicting statements by date or event. Direct source references support motion drafting without additional manual review.
In-House Contract Playbook Compliance
In-house legal teams run incoming vendor agreements through Harvey to check whether liability caps and data privacy terms match internal standards. Non-compliant provisions are flagged immediately. The platform generates alternative language based on pre-approved corporate templates.
Regulatory Change Impact Assessment
Law firms advising regulated industries use Harvey to contrast newly enacted statutes with existing client operational policies. The platform identifies exact gaps that require remediation. This reduces baseline manual research time on compliance updates.
Firm Knowledge Base Access
Knowledge management teams use Harvey to make decades of internal memos and historical work product queryable by junior associates. The secure environment ensures confidential client information is not exposed externally. Institutional expertise becomes reusable without manual archiving overhead.
Strengths & Weaknesses
Strengths
Fine-tuned specifically for legal language rather than repurposed from a general text model.
Deployed at enterprise scale by documented clients including Allen & Overy and PwC.
Enterprise data isolation prevents confidential client information from entering public training pools.
Covers distinct legal disciplines: litigation, transactional work, compliance, and in-house operations.
Gives mid-sized firms the document processing capacity that previously required much larger teams.
Weaknesses
No public pricing is listed; all prospective clients must contact enterprise sales directly for a quote.
All AI outputs require review and validation by a licensed attorney before use in legal matters.
No self-service signup or public trial is available; access requires a formal sales engagement.
Third-party software integration details are not publicly documented on the website.
Who Is This For?
Corporate In-House Legal Teams. Counsel managing high volumes of vendor contracts and compliance tracking can use Harvey to handle more work internally and reduce outside counsel spend.
Transactional and M&A Attorneys. Deal teams running due diligence on large document sets benefit from automated clause extraction and side-by-side agreement comparison across acquisitions and restructurings.
Litigation Teams. Attorneys preparing for trial use Harvey to parse discovery documents and map conflicting witness statements. Source-referenced summaries support motion preparation without additional manual review.
Legal Innovation and Knowledge Managers. Firm technology teams can fine-tune models on proprietary historical work product. Secure, queryable archives support associate training and institutional knowledge reuse.
Frequently Asked Questions
Does Harvey provide independent legal advice?
No. Harvey is an AI assistant that supports licensed legal professionals. Every output requires review and validation by a qualified attorney before use in any legal matter.
How do firms obtain pricing from Harvey?
Pricing is not published publicly. Firms must submit a request through the Harvey website and engage directly with the enterprise sales team. Quotes are tailored to firm size, practice area requirements, and deployment scope.
Is a free trial or self-service signup available?
No. Harvey does not offer a public free trial or self-service account creation. Access begins with a formal demo or account request submitted through the website.
Is firm data used to train public AI models?
Based on Harvey’s documented enterprise security positioning, uploaded documents and queries are isolated within the firm’s dedicated environment. Data is not shared with public foundational model training pools.
Which legal practice areas does Harvey support?
Harvey supports litigation, transactional law, corporate compliance, and in-house legal operations. Key workflows include discovery analysis, contract review, due diligence, regulatory gap assessment, and knowledge management.
Can mid-sized law firms access Harvey?
Yes. Harvey offers a dedicated solution for mid-sized firms. It gives smaller teams the ability to process high-volume document sets at a scale that previously required much larger legal departments.
What document types can Harvey process?
Harvey can handle contracts, M&A agreement sets, deposition transcripts, discovery materials, regulatory texts, court briefs, and internal legal memoranda.
Who are Harvey’s documented enterprise clients?
Documented clients include international law firm Allen & Overy (now A&O Shearman) and global professional services firm PwC. Both deploy Harvey across enterprise-scale legal and advisory workflows.
Can law firms train Harvey on their own historical documents?
Yes. Harvey supports custom model fine-tuning using a firm’s proprietary historical work product and templates. This allows innovation teams to adapt the platform to firm-specific legal standards and preferred clause language.
Harvey is built on OpenAI foundational models, fine-tuned for legal and analytical task processing. A strategic alliance with PwC supports AI-powered legal and advisory delivery across global enterprise markets. No additional out-of-the-box third-party software integrations are publicly documented on Harvey’s website.