Harvey

Harvey is domain-specific AI for legal and professional services. Adopted by Fortune 500 companies like AT&T, Verizon, Cox, Koch, KKR, Bridgewater, more than 74K+ lawyers across 700+ customers in 58 countries and 50% of AmLaw 100 law firms rely on Harvey to advance legal expertise faster across contract analysis, due diligence, compliance, and litigation. Backed by Sequoia Capital, OpenAI, GV, Kleiner Perkins, Coatue and EQT, Harvey is the trusted partner in modernizing the legal industry.

Legal Agents

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Founded

2022

Location

San Francisco, CA

Employees

785

Funding

~$300M (2025)

Harvey AI: Professional-Class Legal AI for Research, Drafting, and Workflow Automation

Harvey builds domain-specific AI for legal and professional services, with a focus on secure research, first-draft generation, document analysis, and repeatable, agentic workflows. The platform emphasizes auditability, accurate citations, enterprise data governance, and deep integrations with Microsoft 365.

Core promise: deliver “Professional Class AI” that lawyers can trust inside enterprise environments

Foundation: runs on Azure OpenAI with OpenAI models and custom tuning for legal tasks, including case-law–oriented approaches highlighted by [OpenAI](https://openai.com/index/harvey/)

Go-to-market: adopted by leading law firms and in-house teams; LinkedIn cites 700+ customers in 58 countries and usage by 50% of the Am Law 100

Product Overview

Assistant: conversational Q&A and drafting with citation support for legal, regulatory, and tax research (see [Harvey](https://www.harvey.ai/))

Vault: secure document storage and bulk analysis for firm content, playbooks, templates, and knowledge assets

Agents: purpose-built, multi-step workflows for research, drafting, and review with tools, checks, and validation

Microsoft 365 Add-ins: native experiences inside Word, Outlook, and SharePoint to keep work in place

Key capabilities

Legal research with citation-backed answers and retrieval across trusted sources; enhanced by a strategic alliance with [LexisNexis](https://www.lexisnexis.com/community/pressroom/b/news/posts/lexisnexis-and-harvey-announce-strategic-alliance-to-integrate-trusted-high-quality-ai-technology-and-legal-content-and-develop-advanced-workflows)

First-draft generation for contracts, memos, emails, and filings with configurable tone and templates

Document analysis: clause extraction, risk spotting, redlines, diligence checklists, and bulk reviews

Knowledge workflows that bring firm precedents, playbooks, and templates into drafting and review

Outlook and Word automations for email triage, markup, and on-document assistance

How It Works

Architecture: built on Microsoft Azure and Azure OpenAI, leveraging GPT-4 family and o1 variants; profiled by [Microsoft](https://www.microsoft.com/en/customers/story/19750-harvey-azure-open-ai-service) and [OpenAI](https://openai.com/index/harvey/)

Security and governance: designed for enterprise deployment with data residency on Azure, permissioning, audit logs, and integration with Microsoft 365 identity

Retrieval + validation: combines model outputs with governed content sources and agentic checks to improve accuracy and support citations

Integrations

Microsoft Word, Outlook, and SharePoint add-ins

Collaboration with Microsoft 365 Copilot and Azure OpenAI

LexisNexis alliance for trusted legal content and advanced workflows

Evidence of Adoption

Market traction: 700+ customers across 58 countries; 50% of Am Law 100 reportedly using Harvey

Enterprise users publicly cited on LinkedIn include AT&T, Verizon, Koch, KKR, and Bridgewater

Academic partnerships: pilots with universities such as [Notre Dame Law School](https://law.nd.edu/news-events/news/notre-dame-law-school-becomes-first-law-school-to-partner-with-harvey-ai-to-integrate-artificial-intelligence-into-legal-education/)

Who It’s For

Am Law firms and global law firms needing secure, governed legal AI embedded in Microsoft 365

Enterprise in-house legal departments with SharePoint and Microsoft identity

Legal teams seeking agentic workflows tied to firm knowledge, precedents, and playbooks

High-Value Use Cases

Legal research with citation-backed answers across legal, regulatory, and tax domains

Contract and memo first drafts; motion and brief scaffolding; email drafting in Outlook

Document analysis at scale: clause extraction, risk and issue spotting, diligence, and checklists

Knowledge-driven workflows that incorporate firm templates, playbooks, and prior work

On-document assistance inside Word and collaborative workflows in SharePoint

Strengths and Limitations

Strengths

Strong drafting jump-start for contracts and memos per user reviews

Enterprise posture with Microsoft 365 integrations; often rated a leading option in internal evaluations

Credible content pipeline via [LexisNexis alliance](https://www.lexisnexis.com/community/pressroom/b/news/posts/lexisnexis-and-harvey-announce-strategic-alliance-to-integrate-trusted-high-quality-ai-technology-and-legal-content-and-develop-advanced-workflows)

Limitations

Output quality concerns for complex, long-form legal matters; variability reported by users

Adoption friction: consistent day-to-day lawyer usage remains a challenge in some orgs

Pricing pushback from mid-market firms; perceived BigLaw tilt

Polarized community sentiment with debates on legal rigor and claims

Pricing and Trials

No public, self-serve free trial; pricing is not published and the website routes to sales

Guided trials available via partners such as PwC (three-week guided trial)

Quick Facts

Founded: 2022 by Winston Weinberg and Gabriel Pereyra

HQ: San Francisco, CA

Legal entity: Counsel AI Corporation

Focus: legal research, drafting, document analysis, and agentic workflows

Modules: Assistant, Vault, Agents, and Microsoft 365 add-ins

Models: Azure OpenAI (GPT‑4 family, o1 variants); OpenAI profile of custom legal modeling

Partnerships: [LexisNexis](https://www.lexisnexis.com/community/pressroom/b/news/posts/lexisnexis-and-harvey-announce-strategic-alliance-to-integrate-trusted-high-quality-ai-technology-and-legal-content-and-develop-advanced-workflows), [Microsoft Azure](https://www.microsoft.com/en/customers/story/19750-harvey-azure-open-ai-service), [Notre Dame Law School](https://law.nd.edu/news-events/news/notre-dame-law-school-becomes-first-law-school-to-partner-with-harvey-ai-to-integrate-artificial-intelligence-into-legal-education/)

Customers: 700+ customers across 58 countries; 50% of Am Law 100 (per [LinkedIn](https://www.linkedin.com/company/harvey-ai))

Notable Content and Case Studies

OpenAI profile of Harvey’s case-law–oriented approach and custom models: [OpenAI](https://openai.com/index/harvey/)

Microsoft customer story on Azure OpenAI deployment and security posture: [Microsoft case study](https://www.microsoft.com/en/customers/story/19750-harvey-azure-open-ai-service)

Microsoft 365 integrations for Word, Outlook, SharePoint: [Integrations page](https://www.harvey.ai/platform/microsoft-integrations) and [announcement](https://www.harvey.ai/blog/announcing-harvey-integrations-with-microsoft)

Harvey Agents overview and roadmap: [Harvey blog](https://www.harvey.ai/blog/introducing-harvey-agents)

Getting Started

Explore the platform and request a demo: [Harvey](https://www.harvey.ai/)

Learn about Microsoft 365 deployment paths: [Integrations](https://www.harvey.ai/platform/microsoft-integrations)

Review user sentiment and evaluations: [G2 reviews](https://www.g2.com/products/harvey-ai/reviews), community threads on [experience](https://www.reddit.com/r/legaltech/comments/1bvtuic/any_experience_with_harvey/) and [pricing](https://www.reddit.com/r/legaltech/comments/1mhndz0/harvey_ai_says_its_for_all_lawyers_but_prices/)

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