Harvey AI

Tool Introduction

Harvey AI is a generative AI platform purpose-built for the legal industry, with growing adoption in tax and finance. It was founded in 2022 by Winston Weinberg, a litigator, and Gabriel Pereyra, an AI researcher. The founders saw an opportunity to improve legal workflows using large language models (LLMs). Early testing with GPT-3 validated its value when paired with expert review.

Harvey simplifies complex legal work by automating document review, research, drafting, and due diligence. Its tools help professionals handle high-volume tasks faster and more accurately. Harvey supports over 300 enterprise clients across 53 countries and is used by most of the top 10 US law firms.

The platform prioritizes real-world alignment through collaboration with lawyers during development. Features such as GPT-4.1 integration and Deep Research for Legal show Harvey’s focus on continuous innovation. With strong backing and partnerships—including OpenAI and LexisNexis—Harvey is shaping the future of legal technology.

Demo Available?

You can request a demo by contacting Harvey directly through a waitlist or contact form submission.

Tool's Accuracy

Harvey AI’s internal pilot showed 86 of 100 AI-generated landlord-tenant answers were attorney-approved without edits. The platform uses retrieval-augmented generation and escalation workflows to reduce legal errors and improve reliability.

Aggregate Rating

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Detailed Overview

Purpose-built for legal professionals, Harvey automates contract review, research, drafting tasks, due diligence, and knowledge management.

What Harvey AI Does

Harvey AI uses custom-trained large language models to automate core professional workflows:

Reviews contracts to extract terms, flag risks, and summarize documents.
Conducts deep legal research across laws and cases with citations.
Drafts legal memos or redlines documents automatically.
Analyzes large document sets for due diligence or litigation prep.
Compares hundreds of contracts to identify material differences.
Answers complex questions using relevant statutes or precedents.
Automates repetitive tasks through workflow integration.

It includes access controls, audit trails, encryption features, and integrations with platforms like LexisNexis.

Who Harvey AI is for

Harvey serves:

Attorneys in private practice
In-house counsel
Legal operations teams
Tax or finance professionals handling regulatory content
Knowledge managers in law firms or corporate departments

It’s designed for teams working with large document volumes who need accuracy and compliance at scale.

Top Differentiators

Domain-Trained Models: Built on legal-specific data for better relevance than general LLMs.
Workflow Integration: Co-developed with attorneys to match real practices.
Security Features: Includes encryption, access controls, audit logs.
Content Partnerships: Integrated access to LexisNexis content including Shepard’s Citations.
Enterprise Scalability: Handles global workloads efficiently.
Rapid Updates: Incorporates new model versions like GPT‑4.1 regularly.

Introductory Video

Founding Year

2022

Target Industry

B2B, Enterprise, Law firms, Corporate legal departments, Professional services organizations in tax and finance

Available Integrations

iManage: Enables native document access, AI-assisted drafting, and secure return to the iManage repository for law firms using this platform.

Microsoft Azure: Supports deployment through Azure Marketplace, offering scalable automation and legal assistant features within an enterprise-grade environment.

Custom Workflow Integrations: Tailored tools built with firms like Allen & Overy, Ashurst, and Paul, Weiss using Harvey’s Workflow Builder for tasks such as merger control and motion drafting.

API Integration and Plug-ins: Offers extensibility with legal software like CLM platforms; requires technical setup and API documentation access.

LexisNexis: Powers procedural workflows like Motion to Dismiss by combining LexisNexis data with Harvey’s automation tools; available only to select partners.

Plans & Pricing

Harvey AI uses an enterprise subscription model with custom pricing, typically billed per user or per matter. There is no official rate card or standard plan breakdown.

Base Tier: Estimated at around USD 1,200 per seat per year.
Advanced Tier: For features like treatises and turnkey litigation workflows, pricing may reach USD 3,000 per seat per year.
Premium Content Add-ons: Bundles such as LexisNexis integration may increase costs by 30–40% in future contract cycles.

All pricing is subject to individual negotiation. Enterprise deals can vary ±30–50% from estimated list prices. Usage limits, seat minimums, API quotas, storage terms, and overage fees are not published.

Free trial users may receive limited access to certain features and resources. Harvey may restrict or end trial access at its discretion.

Features & Specs

Document Review: Automates term extraction from contracts; highlights discrepancies; creates summaries.
Legal Research: Accepts natural language queries; returns case law citations via LexisNexis integration.
Drafting & Redlining: Generates full-length memos or edits existing clauses automatically.
Due Diligence: Reviews bulk document sets quickly during M&A or compliance checks.
Contract Comparison: Flags differences across hundreds of agreements efficiently.
Q&A Support: Provides cited answers tied to specific laws or rulings.
Workflow Automation: Integrates into existing systems; supports task streamlining via custom setups.
Security Controls: Offers end-to-end encryption; granular permissions;

Security & Compliance

Encryption: End-to-end encryption is provided for data in transit and at rest.
SSO: Supports enterprise authentication through Single Sign-On (SSO).
Access Controls: Granular role-based access controls enable detailed user permission management.
Model Training: Models are custom-trained on domain-specific legal data.

Industry Use-Cases

Legal Industry

Harvey AI reduces contract review time in M&A due diligence by extracting key terms, flagging issues, and generating summaries. Legal teams save hours and focus on negotiation and strategy.

Attorneys use Harvey to research complex litigation by querying case law and statutes in natural language. The platform delivers synthesized findings with citations, supporting stronger legal arguments faster.

Corporate Legal Departments

Harvey automates routine contract reviews, flags non-standard clauses, and checks for policy compliance. In-house teams can focus on strategic tasks while maintaining risk controls.

Legal teams use Harvey to analyze new regulations, identify affected agreements, and produce impact reports. This speeds up compliance efforts and helps avoid penalties.

Tax and Finance

Tax professionals rely on Harvey to extract relevant information from regulatory texts and draft compliance documents. This simplifies workflows and cuts down research time.

Financial institutions use Harvey to review contracts at scale, identify risks, and support regulatory reporting. It helps manage exposure efficiently across large agreement volumes.

Tool's Alternatives

Aline
Aline supports full contract lifecycle management from drafting to e-signature. It suits teams beyond legal but lacks Harvey's deep legal reasoning features.

CoCounsel
CoCounsel helps lawyers draft documents and research cases using GPT-4. It emphasizes usability but offers less advanced summarization and contract writing than Harvey.

Everlaw
Everlaw focuses on litigation with collaborative discovery tools. While strong in case analysis, it does not match Harvey’s generative drafting or reasoning depth.

Lex Machina
Lex Machina delivers litigation analytics for outcome prediction. It does not provide generative drafting or contract tools like Harvey but excels in strategic insights.

Spellbook, Luminance, and Relativity also compete with specific strengths in contract drafting, compliance review, and e-discovery respectively. Each overlaps partially with Harvey’s capabilities.

Frequently Asked Questions

What industries is Harvey AI designed to support?
Harvey AI supports legal, tax, and finance professionals. It helps with research, drafting, compliance, and document review across high-volume workflows in law firms and corporate departments.

How does Harvey AI handle legal document review?
Harvey automates contract analysis by extracting terms, flagging risks, summarizing content, and comparing agreements. It speeds up due diligence during M&A or litigation prep while improving consistency.

What are Harvey AI’s pricing models and estimated costs?
Harvey uses an enterprise subscription model with custom pricing. Base tiers start near USD 1,200 per seat annually. Advanced features may reach USD 3,000 per seat. Pricing varies ±30–50% based on contracts.

Does Harvey AI integrate with other legal platforms?
Yes. Integrations include iManage for document access and Azure for enterprise deployment. It also connects to LexisNexis data and supports API-based extensions to CLM systems via custom setup.

How does Harvey ensure security and data protection?
The platform offers end-to-end encryption for all data in transit and at rest. Features include single sign-on (SSO), audit trails, and granular role-based access controls for enterprise-grade compliance.

Who typically uses Harvey within an organization?
Users include attorneys in private practice, in-house counsel, legal operations teams, finance professionals handling regulations, and knowledge managers working with large-scale documentation needs.

What capabilities does the Deep Research feature offer?
Deep Research lets users ask natural language questions about laws or cases. Results are cited using LexisNexis content where applicable, helping lawyers build arguments faster with trusted sources.

Is there a free trial or demo option available?
A demo can be requested through the contact form or waitlist process. Free trial access may be limited by feature availability or duration at Harvey's discretion.

What differentiates Harvey from general-purpose AI tools?
Harvey uses models trained on legal-specific data co-developed with attorneys. It aligns with real-world workflows more closely than general LLMs used by non-specialized platforms.

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