Harvey

What it does

Harvey is AI software for law firms and in-house legal teams. Users bring in documents, contracts and legal questions, and it returns research, drafted and reviewed work, and extracted insights. Its Agents take a described task, plan and carry it out, and deliver a review-ready result with citations. Vault stores and organizes large document sets so a single query can surface relevant information across them.

Teams use Harvey as a shared platform for client matters. Spaces lets firms, clients and co-counsel work in one workspace with governance and ethical walls. Contract Intelligence supports routine contract review and portfolio-wide insights, and Command Center shows usage across teams and offices. The product links to tools people already use, including Word, Outlook, iManage, NetDocuments, SharePoint, Google Drive, Ironclad and LexisNexis, and it offers APIs.

Harvey suits law firms and in-house legal departments that need shared document work and administrative controls. The platform describes SAML single sign-on, audit logs, IP allow-listing and data lifecycle management. Users can work through its web platform, mobile app and supported workplace integrations. Access starts with a demo request and a discussion of the team's requirements. Legal professionals remain responsible for checking cited authorities, reviewing generated work and deciding which confidential materials their organization permits them to upload.

What it can do

• Agents that plan and carry out legal tasks and return cited, review-ready results
• Vault for storing, organizing and bulk analyzing legal documents with a single query
• Spaces for shared workspaces with clients, co-counsel and outside counsel under governance controls
• Contract Intelligence for routine contract review and portfolio-wide insights
• Command Center for usage visibility and benchmarking across teams and offices
• Knowledge research across legal, regulatory and tax questions

Works with

• Microsoft Word
• Microsoft Outlook
• iManage
• NetDocuments
• SharePoint
• Google Drive
• Ironclad
• LexisNexis research access
• APIs; confirm access and connector scope

Example workflows

Assigning a research task to an Agent

Illustrative example. Input: a described legal question and relevant documents from Vault. Steps: describe the task to Harvey; the Agent plans and performs the work; review the output. Output: a review-ready result with citations.

Portfolio contract review

Illustrative example. Input: a set of contracts stored in Vault or Contract Intelligence. Steps: run contract review and query across the set. Output: routine review results and portfolio-wide insights.

Before you choose

• Verify citations, factual assertions and generated legal work before use.
• Confirm connector availability, access permissions and data handling for your firm.
• Plan pricing, trial availability and deployment terms require a sales discussion.

Listed under

• Legal
• Compliance and GRC
• Contracts
• Legal research and drafting
• Compliance
• Contract review
• Document analysis
• Enterprise
• In-house legal
• In-house legal teams

Get started

The site directs visitors to request a demo; no self-serve signup is shown.

1. Request a demo through the Harvey website.
2. Connect the document sources your team uses, such as SharePoint, Google Drive, NetDocuments or iManage.
3. Install or enable the Word and Outlook integrations for your team.

Request a demo and a quote for the required users, capabilities and integrations.

Harvey doesn’t publish prices. You get a quote by contacting sales. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Harvey | AI software for legal and professional services ↗www.harvey.ai
• Legal AI platform overview, features, and impact | Harvey ↗www.harvey.ai

Company website

harvey.ai: product, pricing and policy pages

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Social accounts

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Human review

Checked by a person

knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.