Software profile

Harvey AI at a glance.

Harvey is an AI platform for legal and professional services that combines research, drafting, document review, workflow agents, knowledge sources and connected enterprise content.

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Lorezi score4.40/5

PricingCustom pricing

Free planNo / not listed

DeveloperHarvey AI

Decision summary

What matters first about Harvey AI.

Harvey is an AI platform for legal and professional services that combines research, drafting, document review, workflow agents, knowledge sources and connected enterprise content.

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Lorezi score4.40/5Summary score; review the four dimensions below.

PriceCustom pricing

Best forLaw Firms

Think twice ifPricing is custom rather than publicly standardized

Research freshnessCurrent

Last researchedAug 27, 2026

Scores summarize Lorezi's evaluation. Use the dimension breakdown and evidence to understand the trade-offs. See methodology and weighting.

Research freshness

Current How current is this profile?

Research evidence is within Lorezi's 90-day freshness window.

Last researchedAug 27, 2026

Re-check byNov 25, 2026

Pricing

Checked How does Harvey AI charge?

Lorezi independently checked this pricing on Sep 29, 2026.

Model Custom / sales

Starting point Custom pricing

Billing basis Custom / sales

Pricing checked Sep 29, 2026

Evaluation

How Harvey AI performs.

Four consistent dimensions turn the headline score into a transparent product evaluation.

Features5.0/5

Performance4.4/5

Ease of use4.0/5

Value4.0/5

Editorial verdict

The decision on Harvey AI.

Harvey AI is the premier choice for large law firms and corporate legal departments seeking to automate complex research and drafting. Its strength lies in its specialized legal reasoning and enterprise-grade security, which far exceed general-purpose AI tools. The main tradeoff is the high barrier to entry; the platform requires a significant commitment to onboarding and is currently inaccessible to smaller practices.

For organizations with the scale to support it, Harvey AI provides a transformative advantage in efficiency and accuracy that is difficult to replicate elsewhere.

Best for

Where it fits best.

Law Firms
In-house Legal Teams
Legal Operations Teams
Professional Services Firms
Knowledge and Innovation Teams

Use cases

Practical jobs to consider.

Automate repetitive work
Find and synthesize information for a project
Apply Contract review and redlining in a real workflow
Apply Regulatory compliance monitoring in a real workflow
Turn data into actionable insights
Apply Secure client data handling in a real workflow
Connect tools and data across workflows
Launch common content workflows from reusable starting points

Trade-offs

Strengths and limitations together.

A useful software decision should show what stands out and what deserves caution in the same view.

Strengths

Where Harvey AI stands out.

Purpose-built for legal and professional-services workflows
Combines research, drafting, large-scale document review and agents in one platform
Supports structured review through Vault and Review Tables
Connects to Microsoft and enterprise content systems
Provides enterprise governance and security controls

Limitations

What to weigh carefully.

Pricing is custom rather than publicly standardized
Enterprise deployment and workspace configuration can require onboarding and administration
Availability of some integrations and features depends on workspace configuration
AI-generated legal work still requires professional review and judgment

Capabilities

What can I do with Harvey AI?

Automate repetitive workflows with Harvey AI
Find and synthesize relevant information with Harvey AI
Apply contract review and redlining with Harvey AI
Apply regulatory compliance monitoring with Harvey AI
Analyze data and surface useful insights with Harvey AI
Apply secure client data handling with Harvey AI
Connect this capability to other tools and workflows with Harvey AI
Start common content projects quickly with Harvey AI

Practical prompts

Useful starting prompts.

Review [uploaded agreement] for [jurisdiction and represented party]. Extract termination, liability, indemnity and privacy terms with exact clause citations and questions for counsel.
Compare two contract redlines against the base agreement; list changes to payment, notice, liability and governing law by clause number, with risk notes and unresolved decisions.
Use Review Tables to extract parties, effective dates, renewal terms and governing law from [document set]. Trace each answer to the source and flag conflicting documents.
Draft a first-pass legal issue memo from [provided facts and sources]. Separate documented authority, factual assumptions and jurisdiction-specific conclusions for attorney review.
Workflow Agents brief: Define inputs, exception paths, reviewer approvals and audit trail for repeatable [document intake] process. Require human verification before external use.
Build a privileged-document review protocol for [litigation materials], including access restrictions and attorney sign-off.
Compare [supplier contracts] for data-processing, retention and breach-notification clauses with quoted source locations.
Draft a jurisdiction-scoped research plan for [regulatory question], distinguishing binding authorities from secondary commentary.

Explore prompts →

Expert review