Harvey
← Back to All AI Tools1. Should you try Harvey? Overview
| What it is | Harvey is the leading enterprise legal AI platform, built on top of frontier models with legal-specific workflows for research, drafting, diligence and workflow automation for large firms. |
| Country / HQ | San Francisco, California, USA (founded 2022 by Winston Weinberg and Gabe Pereyra) |
| Best for | Big Law firms, legal departments and professional-services teams that need secure, domain-tuned AI at scale. |
| Check before buying | Enterprise-only with custom contracts commonly cited at $100K+/yr minimums; requires onboarding and workflow integration; not a consumer product. |
| Editor rating | 4.4 / 5 |
| Pricing signal | Custom enterprise pricing |
2. Features What it does
| Feature | What it does |
|---|---|
| Legal research | Domain-tuned answers with citations across legal knowledge. |
| Drafting | Memos, letters, contracts and filings from prompts and templates. |
| Diligence and analysis | Mass document review with extracted issues and timelines. |
| Workflow builder | Chain multi-step legal tasks into repeatable workflows. |
| Vault | Secure workspace for deal documents with AI analysis. |
| Model flexibility | Runs on OpenAI, Anthropic and Google frontier models with legal guardrails. |
| Firm knowledge | Learns firm precedents, templates and playbooks. |
3. Pricing Pricing (2026-10, USD)
| Plan | Price / mo | Key limits & who it fits |
|---|---|---|
| Enterprise | Custom | Seat-based contracts; commonly cited minimums around $100K+/yr. |
| Professional services | Custom | Onboarding, training and solution design included in deals. |
| No self-serve | – | Access via sales; no free tier or trial for individuals. |
Pricing is custom and opaque; press reporting cites seven-figure firm-wide deals and $100K+ annual minimums. Large investor backing (OpenAI, Sequoia, Kleiner; $3B+ valuation reported 2025) supports rapid product expansion.
4. Integration Access & integrations
| Access type | Details |
|---|---|
| Microsoft 365 | Word and Outlook add-ins. |
| DMS | iManage and NetDocuments integrations. |
| Data | Firm DMS, precedent banks and document vaults. |
| Security | SOC 2, enterprise SSO and data controls. |
5. Reviews & Sources External reviews
| Source | Rating | What it says |
|---|---|---|
| Am Law 100 adopters | Positive | Adopted by leading global firms for associate-level workflow acceleration. |
| G2 (limited) | Positive | Small but strong review base among enterprise users. |
| Industry press | Positive | Consistently ranked the top legal-AI startup by funding and adoption. |
6. Best for / Not for Fit
| ✔ Suitable | ✘ Not suitable |
|---|---|
| • Large law firms standardizing AI-assisted practice • In-house legal teams with heavy document volume • Professional services beyond law (tax, consulting) |
• Solo lawyers and small firms (cost and onboarding) • Consumer legal questions • Teams without security-review bandwidth |
7. Competitors How it compares
| Competitor | How it differs | Best for |
|---|---|---|
| Spellbook | Spellbook is mid-market, Word-native and more affordable for contracts. | Contract-focused mid-market. |
| CoCounsel (Thomson Reuters) | Deep Westlaw/Lexis integration for research-heavy practices. | Research-centric firms. |
| Ironclad | Ironclad manages the full contract lifecycle; Harvey augments legal work broadly. | CLM-first needs. |
8. Summary Verdict
| Takeaway | The enterprise standard for legal AI: powerful, secure and expensive – a strategic purchase for large firms rather than a tool you subscribe to casually. |
| Who should pick it | Big Law and enterprise legal departments ready for firm-wide AI rollout. |
| Who should skip it | Small practices and budget-constrained teams. |
