Harvey homepage

Harvey

by Counsel AI Corporation

AI platform for legal and professional services with supervised legal agents

Product with AI agentsSupervised

Last reviewed 2026-06-18

Harvey is an AI platform for legal and professional services that combines a legal Assistant, a document workspace (Vault), a knowledge layer, multi-step Workflows and Agents, and Microsoft Office add-ins. It answers legal questions, analyzes and drafts documents, bulk-analyzes large document sets, and runs multi-step legal workflows over legal materials and primary law (via LexisNexis content), with human-in-the-loop checkpoints built in as a core design feature. Harvey targets large law firms (it cites use across a majority of the Am Law 100), in-house legal teams, and professional services, with a strategic alliance with PwC. Despite agentic branding, its workflows are designed around human review at checkpoints rather than end-to-end autonomy, so it operates as a supervised agent. It is among the best-capitalized AI companies, reportedly valued at $11B in a March 2026 round.

What it can do

  • Answer legal questions and draft documents (Assistant + Knowledge)

    Copilot

    Answers legal questions and analyzes or drafts documents over legal materials and primary law (LexisNexis content); a lawyer reviews and acts.

    source
  • Store and bulk-analyze large document sets (Vault)

    Copilot

    Stores and analyzes large document collections (reportedly up to ~100,000 documents) for review and extraction.

    source
  • Run multi-step legal workflows and Agents

    Supervised

    Plans and runs multi-step legal workflows with human-in-the-loop checkpoints designed in; 2026 additions include ready-made agents, an Agent Builder, and scheduled background runs.

    source
  • Support contract analysis and due diligence

    Copilot

    Analyzes contracts and supports deal and due-diligence review, surfacing issues for lawyer review.

    source

Strengths

  • +Deep, verifiable enterprise traction (use across a majority of the Am Law 100 and a PwC alliance)
  • +Purpose-built legal workflows with LexisNexis primary law and tight Microsoft and iManage integration
  • +Extremely well-capitalized, lowering vendor-survival risk

Limitations

  • Hallucination risk is material in a high-stakes domain; even with low reported rates, customers stress validating every output
  • Expensive, opaque, quote-only pricing with seat minimums
  • Autonomy is more supervised than the agent branding implies

Overview

Harvey is an AI platform for legal and professional services, combining an Assistant, a document workspace (Vault), a knowledge layer, multi-step Workflows and Agents, and Microsoft Office add-ins. It is built specifically for legal work.

What it does

Harvey answers legal questions, analyzes and drafts documents, and bulk-analyzes large document sets in Vault. Its Workflows and Agents plan and run multi-step legal tasks with human-in-the-loop checkpoints designed in as a core feature; 2026 additions include ready-made agents, an Agent Builder, and scheduled background runs. Because review checkpoints are central, it operates as a supervised agent rather than an autonomous one.

Integrations & setup

Integrates with iManage, Microsoft Word, Outlook, and SharePoint, Box, and LexisNexis primary-law content, and runs on Microsoft Azure. There is no public developer docs portal.

Pricing

Enterprise, custom-quoted, per-seat annual, with no public prices. Third-party estimates suggest per-user pricing in the low hundreds of dollars per month at large firms, with contracts and seat minimums (reported, not official).

Traction

Harvey is among the best-funded AI companies: it reportedly raised a ~$200M growth round at an $11B valuation in March 2026, co-led by GIC and Sequoia, for roughly $1.1B+ total, with a valuation that climbed steeply through 2025-2026 (reported figures, not audited). It cites use across a majority of the Am Law 100 and a strategic alliance with PwC.

Best for / not for

Best for large law firms, in-house legal teams, and professional services that want purpose-built legal AI with strong integrations. Less suited to buyers needing transparent self-serve pricing or fully autonomous automation.

Alternatives

Hebbia targets document-heavy finance and legal research; Glean is a broader enterprise work assistant.

What people are saying

LinkedIn · 30d · updated 2026-06-20
49%
positive sentiment
217
mentions
217
49% positive46% neutral5% negative

Loved for

  • +legal

Common gripes

  • support
  • task
  • health
Praise107Complaints9

FAQ

Is Harvey autonomous?+

No. Its workflows and Agents are designed around human-in-the-loop checkpoints rather than end-to-end autonomy, so Harvey operates as a supervised agent; lawyers review and approve its outputs.

What models power Harvey?+

Harvey is built on frontier models and is reported to be multi-model across providers including OpenAI, Anthropic, and Google. The exact current model mix is not published on its site, so this reflects reported positioning.

Sources

Last reviewed 2026-06-18

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