Harvey

Introduction

Harvey is an enterprise AI platform for large law firms and corporate legal departments, founded in 2022 by Winston Weinberg and Gabriel Pereyra, with Allen & Overy as its first major law firm client from early 2023. Since launch it has scaled rapidly through seven funding rounds — from a $5 million seed in 2022 through Series A-F ($21M/2023, $80M/2023, $100M/2024, $300M/Feb 2025, $300M/Jun 2025, $160M/Dec 2025) — taking its valuation from under $100 million to $8 billion by the end of 2025, before the $11 billion round covered below. As of September 2026 it serves 2,400+ legal organizations across 70+ countries, including roughly 75% of the Am Law 100 and 500+ in-house legal teams, with 200,000+ professionals on the platform running tens of thousands of custom agents. Harvey has raised over $1 billion in venture funding to date, most recently a $200 million Series G in March 2026 co-led by GIC and Sequoia Capital at an $11 billion valuation, followed by a strategic investment from Goldman Sachs Alternatives and J.P. Morgan Growth Equity Partners in July 2026. The company also made three acquisitions in 2026 — Hexus (AI product demos, January), Lume (data integration, March), and Benchmark (asset-management decision infrastructure, July) — and reported annualized revenue of roughly $350 million in July 2026, more than triple the figure from a year earlier.

Platform and Products

Harvey has grown from a single chat assistant into a suite of purpose-built products: Agents (end-to-end execution of complex legal workflows), Vault (document storage and bulk analysis), Knowledge (legal and regulatory research), Spaces (secure cross-organization collaboration), Command Center (usage analytics and peer benchmarking, introduced May 2026), Contract Intelligence (contract review acceleration, introduced May 2026), Agent Builder (build, share, and schedule autonomous workflow agents, introduced March 2026), and Harvey Mobile. In August 2026 the platform was relaunched as Harvey II, giving agents persistent memory of matter context, firm knowledge, and user preferences, alongside Harvey Tenet, Harvey's first in-house model post-trained specifically for legal work. Harvey also maintains an open-source evaluation suite, Legal Agent Benchmark (LAB), and publishes its research agenda through Harvey Research, launched in July 2026.

Legal Research

Harvey's Knowledge product lets lawyers query legal and regulatory sources in plain language and get summarized answers with citations. It is fast and a strong starting point for research, but as with other genAI legal tools, citations can occasionally be inaccurate or incomplete, so verification before filing or advising remains necessary.

Contract Analysis

Contract Intelligence reviews large volumes of contracts, extracts key terms, flags risks, checks for missing or non-standard clauses, and compares documents against firm templates or playbooks. This is one of Harvey's most mature and widely used capabilities, particularly for due diligence and high-volume review.

Document Drafting

Harvey can draft contracts, memos, letters, and filings from prompts or templates, adapting to a firm's preferred language, jurisdiction, and clause library. Agents can now carry out longer, multi-step drafting and workflow tasks (for example, fund formation) with less manual orchestration than the platform's earlier single-turn assistant model, though outputs still require attorney review.

Legal Translation

Harvey can translate legal documents across major languages (including English, French, German, Spanish, and Japanese) while preserving legal terminology and structure better than general-purpose translation tools, though jurisdiction-specific nuances can still be missed and should be checked by a bilingual lawyer for high-stakes documents.

Predictive Analytics

Harvey can analyze case law and past filings to surface patterns relevant to litigation strategy or deal risk, helping with settle-versus-litigate assessments and flagging clauses correlated with disputes. This remains an assistive, not predictive-guarantee, capability and should inform rather than replace legal judgment.

Trust and Security

As Harvey has moved deeper into enterprise and financial-services workflows, it has backed that expansion with third-party validation of its AI governance: in June 2026 it achieved ISO 42001 certification, the industry standard for AI management systems, and in July 2026 it became the first legal AI company to achieve AIUC-1 certification for AI agent security, safety, and reliability, following independent evaluation across dozens of risk categories including hallucination, tool misuse, and data leakage.

Pricing

Harvey is sold exclusively to enterprises with custom, quote-based pricing; there is no public pricing page. Third-party estimates from 2026 put costs at roughly $1,000-$2,500 per seat per month depending on the bundle of products selected, typically with minimums of 20-25+ seats on annual contracts. This places Harvey firmly in the premium tier of legal AI tools, generally out of reach for solo practitioners and very small firms.

User Reviews and Ratings

Because Harvey sells exclusively through enterprise contracts, it has relatively few public reviews on sites like G2 compared to its market visibility, though available reviews and legal-tech press coverage are broadly positive, praising a clean interface, minimal implementation friction, and responsive support. Common criticisms center on opaque pricing and the onboarding effort (source configuration, permissions, training) needed to get full value from the platform.

Verdict

Harvey is one of the best-funded and fastest-growing legal AI platforms, with real traction among the largest law firms and corporate legal departments and a genuinely broad product suite spanning research, drafting, contract review, and agentic workflows. Momentum has continued through 2026 with an $11 billion valuation, strategic backing from Goldman Sachs and J.P. Morgan, and three acquisitions extending the platform into product demos, data integration, and asset-management workflows — reinforcing its position as the category's clear scale leader. It remains, however, not built for smaller firms or budget-conscious buyers: pricing is enterprise-only, opaque, and starts in the four figures per seat per month.