Harvey
AI platform for legal and professional services, built for high-stakes research, drafting, review and agentic legal work.
By Harvey AI Corporation · 4.3/5 verified-buyer score
Positioning guardrails
Best for
- Law firms, including AmLaw 100 and mid-sized firms, that want research, drafting and review on one platform.
- In-house legal departments managing contract volume, external counsel and repetitive review work.
- Litigation and transactional teams running due diligence, contract analysis and review at scale.
- Organizations that require ethical-wall enforcement, in-region data hosting and no-training guarantees.
- Legal teams that want adoption analytics and benchmarking through Command Center.
Ideal size: 20+ legal professionals people · Enterprise or scale-up legal team with defined security and data-governance requirements
Not for
- Businesses without a formal legal function or heavy legal document workflows.
- Buyers who require published, self-serve list pricing before engaging sales.
- Organizations unwilling to complete an enterprise security review and security-addendum process.
- Small practices with low document volumes and no cross-team collaboration needs.
Value metrics scorecard
Time-to-Value
About 4 weeks from pilot to production
~30 days to first production value
Total Cost of Ownership
$0/yr
Starts at $0 · Custom enterprise pricing; not published on the vendor site. The site routes buyers through a demo request and publishes ROI calculators for law firms and in-house teams.
Implementation Friction
3/5
Engineering + admin effort required
Buyer Score
out of 5 · verified buyers
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; licensing scoped and negotiated per organization.
Add-on costs
- None
Company & support
Who is behind Harvey, and how your team gets help once it is live.
Market position
Where Harvey sits relative to every other solution in the database. Toggle axes to compare on cost, speed, friction, or buyer score.
Quadrant view
Typical annual cost × Time-to-value
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Harvey ships in AI, and what it asks of your ecosystem.
AI features shipped
Harvey describes purpose-built agents that execute complex legal work end to end, Vault for bulk analysis of legal documents, and Knowledge for researching legal, regulatory and tax questions. Command Center provides analytics and benchmarking on usage. No model key or AI logging details are stated on the pages reviewed.
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Industry verdicts
How Harvey speaks to each vertical it serves — same data, sector lens.
Professional ServicesBill hours faster, staff smarter.
Best for in Professional Services
- Law firms (AmLaw 100 and mid-sized) and legal service networks
- In-house legal, compliance and contracts teams
- Transactional and litigation practices handling large document sets
Not for
- Non-legal professional services with little document-review volume
- Practices that cannot complete enterprise security and data-residency review
Harvey is purpose-built for legal and professional services. The vendor cites 200,000+ lawyers across 2,400+ organizations in 70 countries, including 75+ AmLaw 100 firms, and customers such as Deutsche Telekom, Reed Smith, Syngenta, Repsol and CMS. Core workflows are matter research, contract intelligence, due diligence, litigation support and shared client spaces with ethical-wall enforcement. Buyers should expect enterprise security review, custom pricing and a formal security addendum rather than self-serve onboarding.
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Harvey is an AI platform for legal and professional services, used by more than 200,000 lawyers across 2,400+ organizations in 70 countries. It combines purpose-built agents, document vaulting, legal research, shared client spaces, contract intelligence and a Command Center for adoption analytics. Enterprise controls include SAML SSO, audit logs, IP allow-listing, ethical-wall enforcement, regional data hosting and no model training on customer data. Pricing is custom and unpublished, and rollout assumes an enterprise security review.
Frequently asked questions
How is Harvey priced?
Harvey does not publish list pricing. The vendor site routes buyers through a demo request and offers ROI calculators for law firms and in-house teams. Expect annual enterprise licensing negotiated per organization, with no published mandatory implementation fee. Budget time for a security review and contract negotiation before rollout.
Will our documents be used to train models?
Not by default. Harvey contractually guarantees through its Platform Agreement that customer inputs, outputs and uploaded documents are not used to train underlying models, and requires Zero Data Retention from model providers. Firms may opt in to have a bespoke model created exclusively for them; that model is never used to train models for other customers.
Where is Harvey data hosted, and can we keep it in-region?
Harvey runs its cloud environment on Microsoft Azure and offers processing in the EU and Switzerland, the US, or Australia for data-localisation requirements, including for subprocessors. Data is encrypted at rest and in transit, logically separated per customer, and governed by role-based access controls. Customers choose what to upload, set retention policies and can delete data.
Which security certifications does Harvey hold?
Harvey's security page lists SOC 2 Type II, ISO 27001, ISO 27701, ISO 42001, GDPR, CCPA and AIUC-1, and states the company undergoes annual SOC 2 Type II and ISO 27001 audits. Third-party testing is performed by Schellman, NCC Group and Bishop Fox, alongside continuous monitoring and annual penetration tests.
How does Harvey fit into our existing systems?
Harvey's Ecosystem page says the platform is accessible where customers already work and grounds answers in trusted sources, and a mobile app is offered. However, the vendor pages reviewed here do not name specific connectors or an MCP server. Treat integration depth as a discovery question and ask the vendor for a current connector list.
How quickly do teams see value from Harvey?
Harvey publishes no time-to-value commitment. Its customer evidence cites 25+ hours saved per user per month and a 92% monthly adoption rate at one customer, with onboarding through Harvey Academy and usage analytics in Command Center. A reasonable planning assumption is a pilot in weeks and measured value within the first quarter.