Overview
Harvey is a generative AI platform purpose-built for legal professionals, with a focus on the quality and reliability standards required by elite law firms and corporate legal departments. Unlike general-purpose AI tools adapted for legal use, Harvey is fine-tuned on legal text and workflows, producing output that meets the accuracy expectations of Am Law 100 attorneys and Big Four professional services firms. Harvey's core capabilities include legal research memo drafting, contract analysis, due diligence review, regulatory research, and document summarization. For due diligence workflows, Harvey can process large document sets — data room contents, contracts, corporate records — and extract specified information according to a review protocol, dramatically accelerating the pre-signing review cycle. The platform is designed for enterprise deployment with security controls appropriate for confidential client matters — SOC 2 compliance, data isolation, and no use of client data for model training. Harvey supports custom fine-tuning for firm-specific practice areas and document types, allowing firms to tailor the AI to their specific workflow requirements. Harvey integrations include document management systems and Microsoft 365. It is deployed at Allen & Overy, PwC, and several other global firms. Pricing is enterprise-negotiated and not publicly disclosed. Harvey is best suited for large law firms and professional services organizations with the sophistication to define AI workflows and the volume to justify enterprise deployment.
Key features
Legal Drafting
Draft agreements, memos, letters, and other legal documents from prompts. Harvey can use firm-specific templates and precedents when the knowledge base is configured. Reduces first-draft time significantly for common document types.
M&A Due Diligence
Upload data room documents and run due diligence workflows — identify key provisions, flag risk factors, and extract terms across hundreds of documents simultaneously. Used by M&A teams at major law firms to compress due diligence timelines.
Contract Analysis and Comparison
Review contracts against a playbook, identify deviations from market standard, and summarize non-standard terms. Handles large contract volumes faster than associate review.
Legal Research
Answer legal questions and generate research summaries. Less citation-verified than CoCounsel (Westlaw) or Lexis+ AI, but functional for general research and issue spotting.
Custom Knowledge Base
Firms can upload their own forms, precedents, and playbooks. Harvey answers questions and drafts documents using firm-specific materials — institutional knowledge capture that general AI tools lack.
Workflow Automation
Build repeatable legal workflows for common tasks — NDA review, due diligence checklists, client intake analysis — that staff can run without requiring attorney prompting each time.
Pros and cons
Pros
- Broadest capability set of any legal AI: drafting, research, due diligence, contract review, and custom workflows in one platform
- Adopted by a significant portion of AmLaw 100 firms — active development informed by BigLaw feedback
- Custom knowledge base feature lets firms train Harvey on their own precedents and playbooks
- Strong M&A due diligence workflows — reviews data room documents, flags issues, and extracts key terms at scale
- Not tied to a single research database — works across firm-provided content and uploaded documents
Cons
- Enterprise pricing is not publicly disclosed and is designed for large firms — inaccessible for most small and mid-size practices
- AI outputs require mandatory attorney review — not a substitute for legal judgment
- Not grounded in Westlaw or LexisNexis for case law — weaker than CoCounsel or Lexis+ AI for citation-verified research
- Implementation requires firm-specific configuration and training on internal templates
- Primarily a BigLaw tool — smaller firms often find better ROI with more affordable AI tools
Pricing
Pricing current as of May 2026; verify with vendor before purchasing.
Who it's best for
Best fit for
- Large law firms (AmLaw 200) with high-volume drafting, due diligence, and research needs
- M&A and transactional practices that review large document sets repeatedly
- Firms wanting to build AI workflows using their own precedents and playbooks
- Legal departments at large companies with complex, repetitive legal work
Not a fit for
- Solo and small firm attorneys — enterprise pricing makes it inaccessible
- Attorneys primarily needing citation-verified legal research (use CoCounsel or Lexis+ AI)
- Firms wanting a turnkey solution without configuration and training investment
- Any attorney expecting AI output without review — not suitable for unreviewed legal work
Frequently asked questions
Harvey does not publish pricing. It is an enterprise product priced for large law firms and legal departments. Most implementations involve a custom contract. Contact Harvey sales for pricing.
Harvey is primarily used by large law firms and legal departments. Mid-size firms use it, but the enterprise pricing model is designed for high-volume users. Smaller firms may find better value in CoCounsel (Westlaw add-on) or Lexis+ AI.
Harvey has broader capabilities: drafting, due diligence, custom workflows, and knowledge base training. CoCounsel is more narrowly focused on research and document review but is grounded in Westlaw with KeyCite citations. Harvey wins on breadth; CoCounsel wins on citation reliability for research tasks.
Yes. Drafting is one of Harvey's primary use cases. It can draft agreements, memos, and correspondence from prompts or firm-specific templates. Attorney review is required.
Harvey is generally accurate for legal tasks but requires attorney review. For case law research specifically, CoCounsel or Lexis+ AI are considered more reliable because they verify citations against legal databases.