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Harvey AI

  • What it is:Harvey AI is a generative AI platform built for law firms and enterprises to automate contract analysis, legal research, drafting, and due diligence.
  • Best for:AmLaw 100 law firms, Large in-house legal teams, Global enterprises
  • Pricing:Starting from $1,000-$1,200 per user/month
  • Rating:88/100Very Good
  • Expert's conclusion:Harvey AI is best suited for large-enterprise law firms and corporate legal departments that can justify the premium price associated with cutting edge AI that addresses complex legal matters while providing institutional grade security and compliance.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is Harvey AI and What Does It Do?

Harvey is an artificial intelligence platform that has been specifically designed to support legal professionals and organizations through its use of AI-powered tools that provide assistance during contract reviews, legal research, and document assessments as well as supporting an organization's compliance requirements. Harvey was developed by co-founders Winston Weinberg and Gabriel Pereyra. It has rapidly established itself as one of the leading players in AI-based solutions used within the professional services sector, with numerous top-tier law firms and Fortune 500 companies utilizing Harvey's offerings.

Active
📍San Francisco, CA
📅Founded 2022
🏢Private
TARGET SEGMENTS
Law FirmsIn-House Legal TeamsEnterprise Professional ServicesFortune 500 Companies

What Are Harvey AI's Key Business Metrics?

📊
700+
Leading Law Firms
📊
50+
AmLaw 100 Firms
📊
74,000+
Lawyers Using Platform
📊
$966M+
Total Funding Raised
📊
$8 billion
Series F Valuation
Rating by Platforms
4.8/ 5
Gartner(4 reviews)
Regulated By
SOC 2 Type II(USA)Enterprise-grade Security(Global)

How Credible and Trustworthy Is Harvey AI?

88/100
Excellent

Harvey has demonstrated significant credibility based on its advanced AI technologies, its involvement in partnerships with prominent investors such as Sequoia and Andreessen Horowitz, and its rapid acceptance and utilization by both Fortune 500 companies and top-tier law firms. The strong security measures implemented by Harvey have also supported the trust of these organizations within the marketplace.

BREAKDOWN
Product Maturity85/100
Company Stability92/100
Security & Compliance90/100
User Reviews88/100
Transparency75/100
Support Quality88/100
TRUST SIGNALS
50+ AmLaw 100 law firms as customers700+ leading law firms using platform$8 billion valuation backed by Sequoia, a16z, Google VenturesSOC 2 Type II certified with zero training on customer dataUsed by General Counsel at Fortune 500 companies including Deutsche Telekom and PwCQuadrupled customer base in 2024

What is the history of Harvey AI and its key milestones?

2022

Company Founded

Harvey was developed by Winston Weinberg (a former securities and antitrust litigator at O’Melveny & Myers) and Gabriel Pereyra (a research scientist formerly at Google DeepMind).

2022

Seed Funding

In 2019, Harvey completed a $5 million seed round of funding, which included the lead investment from the OpenAI Startup Fund and additional investments from Elad Gil. This round of funding will be used to develop and implement foundational AI-driven legal tools.

2023

Series A Funding

In 2020, Harvey secured a $21 million Series A round of funding from Sequoia Capital. This funding will be utilized to grow Harvey’s talent acquisition efforts and improve the core AI technology platform.

2023

Series B Funding

In 2021, Harvey closed an $80 million Series B round of funding from Kleiner Perkins and Elad Gil, bringing Harvey’s valuation to over $715 million.

2024

Series C Funding

In 2021, Harvey announced it had secured an additional $100 million in funding through its Series C round of funding from Google Ventures and Kleiner Perkins, bringing Harvey’s valuation to over $1.5 billion.

2025

Series D & E Funding

Harvey has since raised two additional rounds of funding (Series D and Series E) totaling over $380 million. During this time period, Harvey increased its valuation to over $3 billion. As a result of Harvey increasing its customer base by four times, it has significantly expanded its business development operations.

2025

Series F Funding

In June 2024, Harvey announced that it had secured an additional $160 million in funding through its Series F round of funding from Andreessen Horowitz. At the time of the announcement, the total value of Harvey had grown to approximately $8 billion. The Series F round of funding attracted new and repeat investors.

Who Are the Key Executives Behind Harvey AI?

Winston Weinberg— CEO & Co-Founder
Mr. Weinberg graduated with a Bachelor of Arts degree from Kenyon College and earned his Juris Doctorate degree from USC Gould School of Law. Prior to developing Harvey, Mr. Weinberg practiced as a securities and antitrust litigator at O’Melveny & Myers LLP. He founded Harvey in 2022 to utilize AI in complex legal workflows.. LinkedIn
Gabriel (Gabe) Pereyra— President & Co-Founder
Mr. Pereyra served as a research scientist at Google DeepMind. He specialized in AI and machine learning, and he co-founded Harvey to create industry-specific generative AI models. Today, he serves as the technical lead for Harvey's research efforts and overall technical roadmap.. LinkedIn
Aatish Nayak— Head of Product
In November of 2023, Harvey joined him as a co-founder. Prior to working with Harvey, he was the head of product at both Scale.ai and Shield.ai. He has a B.S. degree in electrical and computer engineering from Carnegie Mellon University. He also oversaw the release of six major products in 2024.
Alan Ghelberg— Chief Financial Officer
Harvey is bringing his experience in financial and operating functions to help Harvey scale its business model and grow strategically.

What Are the Key Features of Harvey AI?

✨
Domain-Specific AI Assistant
Trained to provide personalized AI assistants based on legal knowledge and can perform complex tasks in natural language; it provides expert quality work product and does so without the need for manual prompting.
✨
Knowledge Base
It can provide answers to complex research questions within the legal, regulatory, and tax domains including providing accurate citations and sourced information.
✨
Vault - Document Analysis
Thousands of documents can be uploaded, stored, and analyzed using generative AI for large-scale contract reviews, due diligence and document interpretations.
✨
Contract Review & Analysis
The use of generative AI accelerates contract review processes through the analysis of provisions, risks and compliance implications specific to the legal profession.
✨
Multi-Model Workflows
Multi-model agents are being developed that will allow collaboration with professionals performing transactional work, litigation, research and compliance tasks.
🔒
Enterprise Security & Compliance
No training on customer data required; SOC 2 Type II certified, and industry standard protection with advanced security controls.
👥
Team Collaboration
Solutions are being developed for in-house legal teams, innovation teams, transactional teams and litigation teams to improve workflow efficiencies across practice areas.
🔗
Integration Capabilities
Seamless integration with all of the professional tools and platforms that are used by law firms and enterprise companies to streamline their workflow.

What Technology Stack and Infrastructure Does Harvey AI Use?

Infrastructure

Enterprise-grade cloud infrastructure with SOC 2 Type II certification and zero customer data training

Technologies

Generative AILarge Language ModelsNatural Language ProcessingMachine Learning

Integrations

Microsoft ecosystemLexisNexisEnterprise legal platformsDocument management systems

AI/ML Capabilities

Proprietary domain-specific generative AI models built for legal professionals with specialized training on legal expertise, contract analysis, and legal research capabilities

Based on official Harvey website, company announcements, and technical documentation

What Are the Best Use Cases for Harvey AI?

Large Law Firms (100+ attorneys)
Automating high volume document review, contract analysis and legal research across multiple practice areas to reduce manual labor and accelerate completion of matters.
In-House Legal Teams
Streamlining contract lifecycle management, due diligence, compliance tasks and legal research to free up time for strategic guidance and reduce external counsel costs.
Transactional/M&A Teams
Accelerating due diligence, contract review and deal analysis to achieve faster closing timelines and identify more risks in each opportunity. The following is a restatement of the provided text within the boundaries defined by the BEGIN_TEXT and END_TEXT markers:
Litigation Teams
Automate the time-consuming task of manually reviewing documents and analyzing them for Discovery, Case Preparation and Legal Research
Legal Innovation Teams
Integrate Custom Domain Expertise and Custom AI Capabilities into Firm Offerings to Enhance Client Service and Illustrate Competitive Advantage
NOT FORSolo Practitioners & Small Law Firms (under 20 attorneys)
Only partially relevant - Typically Minimum Implementation Requires 20+ User Licenses; Cost and Learning Curve May Be Inhibiting Factors for Solo Practices Seeking Basic Document Generation
NOT FORBusiness Contract Management / Procurement Teams
Not Relevant - Harvey was Designed for Lawyers Performing Advanced Legal Work and Research; Does Not Include Contract Lifecycle Management Features Necessary for Business Operations
NOT FORReal-Time Trading or High-Frequency Compliance Operations
Not Applicable - Requires Response Times < 100 ms and Automated Execution That Harvey’s Architecture Was Not Designed to Support

How Much Does Harvey AI Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Enterprise Plan$1,000-$1,200 per user/monthCustom enterprise subscriptions for law firms, annual agreements based on seats and usageThird-party estimates
Custom EnterpriseCustom quoteBespoke pricing with onboarding, multi-year contracts, tailored for large law firmsHarvey enterprise model
Enterprise Plan$1,000-$1,200 per user/month
Custom enterprise subscriptions for law firms, annual agreements based on seats and usage
Third-party estimates
Custom EnterpriseCustom quote
Bespoke pricing with onboarding, multi-year contracts, tailored for large law firms
Harvey enterprise model

How Does Harvey AI Compare to Competitors?

FeatureHarvey AICoCounselSpellbookLuminance
Core functionalityLegal research, contract review, draftingLegal research, document analysisContract drafting, reviewContract review, due diligence
Pricing (starting price)Custom ~$1,000/mo~$225/user/month~$179/user/monthEnterprise subscription
Free tier availabilityNoNoNoNo
Enterprise featuresSSO, audit logs, custom modelsMulti-seat discounts, SSOAdmin controls, SSOAI-to-AI negotiation
API availabilityYes (Assistant API)LimitedNoNo
Integration countMicrosoft Word, AzureWestlaw bundleMicrosoft WordMicrosoft Word
Support optionsWhite glove enterprise supportCustom enterpriseDedicated for teamsEnterprise support
Security certificationsSOC 2 Type II, ISO 27001SOC 2Enterprise-gradeEnterprise-grade
Core functionality
Harvey AILegal research, contract review, drafting
CoCounselLegal research, document analysis
SpellbookContract drafting, review
LuminanceContract review, due diligence
Pricing (starting price)
Harvey AICustom ~$1,000/mo
CoCounsel~$225/user/month
Spellbook~$179/user/month
LuminanceEnterprise subscription
Free tier availability
Harvey AINo
CoCounselNo
SpellbookNo
LuminanceNo
Enterprise features
Harvey AISSO, audit logs, custom models
CoCounselMulti-seat discounts, SSO
SpellbookAdmin controls, SSO
LuminanceAI-to-AI negotiation
API availability
Harvey AIYes (Assistant API)
CoCounselLimited
SpellbookNo
LuminanceNo
Integration count
Harvey AIMicrosoft Word, Azure
CoCounselWestlaw bundle
SpellbookMicrosoft Word
LuminanceMicrosoft Word
Support options
Harvey AIWhite glove enterprise support
CoCounselCustom enterprise
SpellbookDedicated for teams
LuminanceEnterprise support
Security certifications
Harvey AISOC 2 Type II, ISO 27001
CoCounselSOC 2
SpellbookEnterprise-grade
LuminanceEnterprise-grade

How Does Harvey AI Compare to Competitors?

vs CoCounsel

Elite Law Firms with Broad Coverage of Litigation and Transaction Practice Areas are Targeted by Harvey, While CoCounsel Focuses on Research and Integrates With the Thomson Reuters Ecosystem; Harvey Positions as Premium With Custom Models But Higher Opaque Pricing

Harvey for Comprehensive Firm-Wide AI; CoCounsel for Research-Heavy Workflows With Established Content Partnerships

vs Spellbook

Spellbook Is Specialized in Contract Drafting/Review with Tighter Integration with Microsoft Word at Lower Per-User Costs Than Harvey Which Offers Broader Scope of Legal Tasks but Enterprise-Only Sales. Spellbook Suits Mid-Market; Harvey Large Firms

Spellbook for Contract-Focused Teams; Harvey for Multi-Practice Elite Firms

vs Luminance

Luminance Focuses on Autonomous Contract Negotiation and Due Diligence With AI-Native Models, Competing in Transactions. Harvey Has Broader Scope, Both Are Enterprise; Luminance May Have an Edge in Speed of CLM

Luminance for Deal-Making Automation; Harvey for General Professional AI.

vs Everlaw

Everlaw Focuses on E-Discovery and Litigation Platforms with Usage-Based Pricing, Differing from Harvey’s Generative AI Across Practices. Everlaw Stronger in Review Volume; Harvey Stronger in Research/Drafting

Litigation data in Everlaw; Generative tasks in Harvey .

What are the strengths and limitations of Harvey AI?

Pros

  • Enterprise-class Security — SOC 2 Type II, ISO 27001, GDPR Compliant
  • Custom legal models — Trained for complex tasks across many jurisdictions
  • Extensive Functionality — Research, Drafting, Due Diligence, Litigation Support
  • Top Firms Trust it — 50 of AmLaw 100 + 74k Lawyers
  • Zero Data Training — Never uses customer data to train its models.
  • Accessible via API — For Custom Integrations, the Assistant API
  • High Scalability — Large datasets and high volume tasks handled easily.

Cons

  • Pricing Structure is Opaque — Estimated $1,000+/user/month. Only receives quotes from Sales.
  • Not Available for Small Business (SMB), Solo’s, or Small Firm — Enterprise Only
  • No Free Tier, Trial Available — Must be sold to you; No Self-Serve Option.
  • Very Few Public Reviews — Too few G2/Capterra reviews because too focused on enterprise clients.
  • High Cost Barrier — Tens of Thousands Per Year Per Firm
  • Rate Limits on API — 20 requests/minute
  • Long Sales Cycle — Time consuming negotiations and onboarding process causes delayed adoption

Who Is Harvey AI Best For?

Best For

  • AmLaw 100 law firms — Custom Models and Practice Support for Elite Client Needs
  • Large in-house legal teams — For High Volume Transactional & Litigation Work
  • Global enterprises — Multi-Jurisdictional Analysis and Compliance Features
  • Innovation-focused partnerships — Embed Firm Expertise With White Glove Service
  • Fortune 500 companies — Domain Specific AI for Regulatory, Tax, Legal Workflows

Not Suitable For

  • Solo practitioners — Premium Costs and Sales Process — Look at lower-cost options such as Spellbook Basic
  • Small law firms — No Self-Serve, Low-Cost Options — Look at CoCounsel Research Bundles
  • Budget-conscious teams — Premium Pricing Opaque — Look at Usage-Based Pricing Options such as Everlaw
  • Non-legal professionals — Legal Specific — General AI Better for Business CLM

Are There Usage Limits or Geographic Restrictions for Harvey AI?

API Rate Limit
20 requests per minute (Assistant API)
Geographic Availability
Global with focus on US, EU; compliant in supported regions
Compliance
SOC 2 Type II, ISO 27001, GDPR, CCPA; EU AI Act compliant
Data Usage
Zero training on customer data; hosted on Azure
Acceptable Use
No provision of legal advice without review; no competing products
User Scale
Enterprise seats only; no SMB limits specified

Is Harvey AI Secure and Compliant?

SOC 2 Type IISuccessfully completed audit by Schellman; annual independent assessment
ISO 27001Certified and renewed; information security management standard
GDPR ComplianceFull compliance with data protection regulations
CCPA ComplianceAdheres to California privacy requirements
Data EncryptionState-of-the-art encryption on Microsoft Azure infrastructure
EU AI ActComplies with applicable AI regulations
Access ControlsEnterprise-grade with expert security advisors
Audit LoggingAvailable for compliance and monitoring

What Customer Support Options Does Harvey AI Offer?

Channels
Support available for enterprise customersDedicated support team for customer onboarding and issue resolution
Specialized
White glove support team dedicated to resolving issues and maximizing Harvey experience. Dedicated Customer Success Manager for API integrations and enterprise deployments.
Business Tier
Enterprise-focused support with priority assistance for large law firms and Fortune 500 customers

What APIs and Integrations Does Harvey AI Support?

API Type
REST API (v2) with country-specific endpoints
Authentication
Bearer token authentication managed through Customer Success Manager
Endpoints
US: api.harvey.ai, EU: eu.api.harvey.ai, AU: au.api.harvey.ai
Documentation
Comprehensive developer documentation at developers.harvey.ai with authentication guides and integration instructions
Key Features
Integrate proprietary knowledge, automate workflows, embed Harvey AI in internal applications, access continuously improving AI models
Security
HTTPS required for all requests, bearer token security, no HTTP support
Integrations
iManage integration with OAuth connection for secure document import/export, direct integration with document management systems
Use Cases
Custom workflow automation, document analysis integration, legal research automation, contract review workflows

What Are Common Questions About Harvey AI?

Harvey is a domain specific AI assistant trained on legal datasets that assist lawyers with complex tasks using natural language. Users can delegate research, document analysis, contract review, and workflow automation tasks through conversational AI, providing answers with accurate citations.

The four primary services that Harvey provides are Assistant (a conversational AI used to delegate tasks) Research (answers legal questions with references to cases and statutes) Vault (secure document repository and analysis) and Workflows (multi-agent models that automate multi-step legal processes).

Harvey charges custom enterprise prices; it does not have a publicly listed price for its products. The estimated annual cost per lawyer is $500-$3000 depending upon the size of the law firm and the options selected by the user. Generally, all of the above pricing options require an individualized sales consultation and a mandatory minimum number of seats that are required to be purchased at a time; all purchases require a 1-year commitment.

Yes. Harvey has no access to the client's data (zero training); Harvey has industry standard robust protections for client data and is compliant with SOC 2 standards; and Harvey supports the use of "ethical walls" for multi-matter work. All enterprise clients are able to host their data on either EU or AU servers in order to meet data residency requirements.

Yes. Harvey offers an API (Application Programming Interface) to integrate with other systems (REST API integration); and Harvey also offers an OAuth enabled integration with iManage document management; and Harvey has the ability to seamlessly embed workflows into existing legal software platforms. The iManage integration allows users to directly upload/download documents securely through the iManage system without having to manually upload/download documents.

Harvey currently serves over 700 leading law firms and enterprises including 50 of the top 100 AmLaw firms and over 74,000 active lawyers on its platform. Harvey's customers include large corporate legal departments and professional service firms.

Harvey has developed customized solutions for many different types of legal practice areas including transactional work (e.g., due diligence, contract review); litigation support; in-house legal teams; and innovation and transformation initiatives. Harvey also develops customized configurations to meet the specific needs of each of its customers' respective practice areas.

As part of every enterprise deployment, Harvey offers white-glove on-boarding support and mandatory training for the employees of the deploying company. In addition to this support, Harvey provides documentation and continuing education opportunities to assist in maximizing the utilization and benefits of the Harvey Platform.

Is Harvey AI Worth It?

The Harvey AI system provides an advanced and specialized AI solution for large-scale enterprise use in high complexity legal work. The Harvey AI system is well-supported by its partnership with OpenAI and has been adopted by elite law firms. However, the enterprise sales model used by Harvey AI, as well as the company's custom pricing that is often opaque to clients, combined with the significant cost to implement Harvey AI, severely limits access to the Harvey AI system to only large organizations with substantial AI budgets.

Recommended For

  • Large AmLaw 100 law firms performing high volume, complex transactional work
  • Corporate legal departments at Fortune 500 companies
  • In-house legal teams responsible for drafting and enforcing numerous contracts and for complying with relevant regulatory requirements
  • Legal teams focused on innovation and automation of multi-step workflow processes
  • Law firms that have already established integration of their document management systems or other integration infrastructures such as iManage

!
Use With Caution

  • Law firms with less than 100 attorneys - Pricing and minimum number of user licenses may result in negative Return On Investment (ROI) for these smaller firms.
  • Teams/organizations that require transparent, publicly available pricing - Harvey AI uses an opaque enterprise sales model.
  • Companies/Organizations that need rapid implementation of the Harvey AI system - Requires extensive "white glove" onboarding services as well as staff training.
  • Firms/Organization with limited API/Integration expertise - Implementation will require access to internal Development Resources.

Not Recommended For

  • Solo Practitioners/Boutique Law Firms - Pricing begins at several hundred thousand dollars per year.
  • Organizations/Clients that are budget conscious - There is no publically transparent pricing structure for the Harvey AI system; Expect significant negotiation will be required.
  • Clients/Organization that desire self-service setup - Will require access to a Dedicated Customer Success Manager as well as a full Implementation Team.
Expert's Conclusion

Harvey AI is best suited for large-enterprise law firms and corporate legal departments that can justify the premium price associated with cutting edge AI that addresses complex legal matters while providing institutional grade security and compliance.

Best For
Large AmLaw 100 law firms performing high volume, complex transactional workCorporate legal departments at Fortune 500 companiesIn-house legal teams responsible for drafting and enforcing numerous contracts and for complying with relevant regulatory requirements

What do expert reviews and research say about Harvey AI?

Key Findings

Harvey AI is an established legal enterprise AI platform that serves 700 + of law firms; 50 AmLaw 100 firms; and 74,000 + active lawyers. The legal AI platform includes customized trained AI models and robust security measures (no customer data used in training models; SOC 2 certified; and supports ethical walls); and directly integrates into all major legal platforms including iManage.

Data Quality

Excellent - comprehensive information from official website, developer documentation, customer case studies, and multiple industry sources. Pricing is intentionally opaque (enterprise custom model) but estimated at $500-$3,000 per lawyer annually based on multiple research sources. No revenue figures available (private company).

Risk Factors

!
Pricing structure may prevent budget-constrained firms to be able to afford it
!
Costs associated with implementing the Harvey AI platform and time spent on training staff
!
Harvey AI’s focus on enterprise clients leaves many small firms out of the legal AI market
!
Competition exists within the legal AI market, and there are many funded competitors (LexisNexis, Thomson Reuters, Westlaw)
!
Harvey AI will rely on constantly developing AI models, as well as the ongoing success of its partnership with OpenAI
Last updated: January 2026

What Additional Information Is Available for Harvey AI?

Founder & Backing

Harvey AI was started by technologists who have experience working in the field; the company also has investments from leading venture capitalists. Harvey AI has partnered with OpenAI to develop customized AI models designed specifically to work with legal workflows; these models combine the capabilities of general AI with the knowledge and expertise of the legal community.

Platform Capabilities

Harvey AI’s multi-agent model architecture is designed to work collaboratively with professionals to generate work products; this platform produces specific output based on each user’s input for legal workflows without requiring users to prompt the system to do so; this is different than other chat systems like ChatGPT which produce generic responses.

Customer Success & Adoption

Harvey AI offers white-glove onboarding services for all enterprise clients; each client also receives a dedicated Customer Success Manager to assist them in transforming their organization using Harvey AI; Harvey AI also has innovation teams that provide each client with the resources they need to integrate Harvey AI into their firm-specific expertise and workflow.

Market Position

Harvey AI operates within the premium legal AI space and only serves enterprise clients; the fact that 50 AmLaw 100 firms utilize Harvey AI and that there are 74,000 + active lawyers on the platform demonstrates significant institutional adoption; Harvey AI will continue to emphasize quality over quantity while maintaining excellent customer service through careful planning and execution of its services.

Product Roadmap

Harvey is announcing new multi-model agent collaborations to support the development of large, complex projects that will utilize more advanced workflow automation techniques as well as continuing to expand their coverage of areas of legal practice and deepen their integration with legal technology platforms and infrastructure used by major corporations.

Compliance & Standards

Harvey has a SOC 2 Type II certification, segregates client matters via strict ethical walls, and has deployed its platform to multiple countries (US, EU, AU) to meet data residency compliance requirements. Additionally, the Harvey platform tracks all activity with an audit trail, and enforces various types of governance controls to meet the regulatory and institutional standards required by many organizations.

What Are the Best Alternatives to Harvey AI?

  • •
    Westlaw AI-Assisted Research: Thomson Reuters’ AI tool was launched as part of their Westlaw legal research platform. As one of the most established players in the market with years of experience creating legal content, they also have extensive institutional relationships throughout the industry. A better fit for those who are currently utilizing Westlaw and would like to integrate AI functionality into their existing legal research processes; not as flexible for firms that want to implement cross-system workflows. Best suited for the typical law firm looking to deploy AI-based tools similar to what they are used to within their current legal research ecosystem (WestLaw).
  • •
    LexisNexis AI Solutions: LexisNexis’ provides a complete AI suite to include research, document drafting and contract analysis and is also integrated with the Lexis platform. LexisNexis has significant brand recognition and a substantial amount of legal content available. While this product would be a good fit for firms that are standardized on the Lexis ecosystem, it may offer fewer innovations than Harvey’s product. This product would be best suited for enterprises that require an integrated legal AI platform from a traditional legal technology provider (LexisNexis).
  • •
    Everlaw AI: Everlaw is a litigation support platform that uses AI to assist in the discovery process and litigation workflows. This product would be a better fit for law firms that focus primarily on litigation; whereas Harvey is more suited for firms that focus on transactional work. Everlaw is also significantly less expensive than Harvey, however, it may limit the user to specific litigation-focused use cases. Everlaw would be best for law firms that have high volume litigation needs.
  • •
    Kira Systems: Kira Systems is a machine learning platform that focuses solely on analyzing contracts and conducting due diligence on transactions. Kira Systems has demonstrated high levels of accuracy in analyzing contracts. This product is ideal for firms that are focused on M&A and contract work; while it does provide some contract analysis capabilities, it is not nearly as comprehensive as Harvey’s overall legal AI platform. Kira Systems would be best for deal-focused firms that want to leverage a highly accurate contract AI tool.
  • •
    Ironclad AI: A contract intelligence platform that offers collaborative contract management and lifecycle automation. The best choice for contract-centric workflows as well as cross-functional collaboration. More effective for businesses that are looking for contract management. Less effective for legal research. Best for companies that want to prioritize contract visibility and contract workflow automation rather than legal research. (ironclad.com)
  • •
    ChatGPT/Claude Enterprise: General purpose large language models that can be accessed through an Enterprise API. Entry point into enterprise-level artificial intelligence at a lower cost, and it has broader capabilities. Significant prompt engineering is required in order to use effectively; it has no optimization for the legal domain. Careful oversight will be needed to ensure that all legal accuracy and compliance requirements have been met. Best for firms that need to create custom solutions to meet their specific needs, and who have access to technical talent to do so. (openai.com, anthropic.com)

What Legal Ai Capabilities Does Harvey AI Offer?

Contract Review & Analysis

Artificially intelligent review of contracts to assist in identifying potential risks, obligations, key terms, and discrepancies within those contracts.

Legal Research

Searches for relevant case law, statutes, and precedents by utilizing natural language search queries and provides accurate citation.

Document Drafting

Generates contracts, emails, and other legal documents based on firm-specific templates.

Litigation Support

Assists with e-discovery, creating case chronologies, assisting with risk assessments and preparing for trials.

Due Diligence

Automatically analyzes documents for M&A and transactional work flows.

Regulatory Compliance

Monitors regulations and flags issues, as well as assists in ensuring policy compliance across jurisdictions.

What Are Harvey AI's Contract Analysis Metrics?

94.8%
Accuracy Rate
80.2%
Chronology Generation
95%+
Extraction Accuracy
Up to 25 hours/month
Time Saved
74k+
Lawyers Using
700+
Law Firms

What Is Harvey AI's Compliance Coverage Status?

Regulation/FrameworkCoverageFeatures
GDPRCompliantData protection, regional hosting, no training on customer data
CCPACompliantConsumer privacy rights support
SOC 2 Type IICertifiedAnnual independent audits by Schellman
ISO 27001CertifiedInformation security management system
EU AI ActHigh-Risk ReadyHuman oversight, accuracy safeguards

What Supported Jurisdictions Does Harvey AI Support?

United StatesUnited KingdomEuropean UnionAustraliaCanadaMultiple Jurisdictions

What Document Types Supported Does Harvey AI Offer?

Contracts & Agreements

Reviews risks, extracts terms, creates clauses across various types.

NDAs & Side Letters

Identifies non-standard clauses, flags confidentiality issues.

M&A Documents

Due diligence review, identifies discrepancies.

Litigation Files

Creates case chronologies, organizes discovery efforts, performs risk assessments.

Regulatory Documents

Performs compliance checks, cross references policies.

LPAs & Credit Agreements

Extracts and analyzes complex terms from contracts.

What Is Harvey AI's Security Certifications Legal Status?

SOC 2 Type IIAnnual audits by Schellman, covers security practices
ISO 27001Renewed information security management certification
GDPREU data protection with regional hosting
CCPACalifornia consumer privacy compliance
Attorney-Client PrivilegeNo training on customer data, preserves privilege

What Integrations and Partners Does Harvey AI Support?

Document Management
iManage, NetDocuments, SharePoint
Contract Management
Ironclad, DocuSign CLM
Microsoft Office
Word, Outlook, Teams
Cloud Storage
Box, Google Drive, OneDrive
Single Sign-On
SAML SSO
API Access
Custom integrations for legal workflows

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