Harvey vs Darrow

Side-by-side comparison of AI visibility scores, market position, and capabilities

Harvey leads in AI visibility (86 vs 56)
Harvey logo

Harvey

LeaderLegal

Law Firm & Enterprise Legal Agents

$150M raise at $8B valuation (Q1 2026); dominant legal AI platform. Used by 200+ top law firms and legal departments at Fortune 500. Harvey handles contract review, due diligence, legal research, and brief drafting.

AI VisibilityBeta
Overall Score
A86
Category Rank
#1 of 1
AI Consensus
60%
Trend
stable
Per Platform
ChatGPT
86
Perplexity
85
Gemini
77

About

Harvey is a San Francisco-based generative AI platform purpose-built for legal professionals — providing law firms, corporate legal departments, and legal service providers with AI-powered legal research, contract analysis, document drafting, and regulatory analysis tools trained on legal corpora and aligned with legal professional standards. Founded in 2022 by Gabriel Pereyra and Winston Weinberg (formerly of OpenAI and Goldman Sachs) and backed with $300+ million raised including participation from OpenAI Startup Fund, Sequoia Capital, and Google Ventures at a $1.5 billion valuation in 2024, Harvey serves over 100 major law firms including Allen & Overy (A&O Shearman) and PricewaterhouseCoopers Legal.

Full profile
Darrow logo

Darrow

ChallengerLegal

General

Legal AI for plaintiffs firms identifying mass tort and class action opportunities; AI analysis of regulatory data and adverse event reports to surface high-value litigation claims before competitors.

AI VisibilityBeta
Overall Score
C56
Category Rank
#119 of 1158
AI Consensus
51%
Trend
stable
Per Platform
ChatGPT
58
Perplexity
48
Gemini
66

About

Darrow is a legal AI platform that helps plaintiffs' law firms and mass tort litigation groups identify and pursue large-scale legal claims by automatically analyzing datasets for patterns that indicate potential class action suits, multi-district litigation (MDL) opportunities, or mass tort cases — using AI to surface claims that would require enormous manual review to identify in traditional legal research. Founded in 2020 in Tel Aviv, Israel by Evyatar Ben Artzi and Gal Gonen, Darrow has raised approximately $35 million and targets plaintiffs' law firms and litigation funders who want to find and develop high-value cases more efficiently.\n\nDarrow's AI system monitors regulatory filings, court documents, government databases, news sources, and adverse event reports to identify emerging litigation opportunities — such as a pattern of product safety complaints that could form the basis of a class action, or regulatory enforcement actions that create plaintiff claims. The platform helps attorneys evaluate claim merit and potential damages before investing significant resources in case development. Darrow calls this "justice intelligence" — using AI to surface deserving claims that might otherwise go unfiled because attorneys lack the tools to identify them efficiently.\n\nIn 2025, Darrow operates in the emerging legal AI and litigation intelligence market alongside CaseText (acquired by Thomson Reuters), Lex Machina (LexisNexis), and general legal AI tools like Harvey AI for litigation-focused AI applications. The plaintiffs' side of the legal market is a significant opportunity for AI — mass tort and class action law firms handle billions in settlements and have strong incentive to identify high-merit cases early. The 2025 strategy focuses on expanding its claim identification coverage to more regulatory databases and adverse event sources, growing partnerships with major plaintiffs' firms and litigation funders, and expanding internationally.

Full profile

AI Visibility Head-to-Head

86
Overall Score
56
#1
Category Rank
#119
60
AI Consensus
51
stable
Trend
stable
86
ChatGPT
58
85
Perplexity
48
77
Gemini
66
95
Claude
67
90
Grok
66

Key Details

Category
Law Firm & Enterprise Legal Agents
General
Tier
Leader
Challenger
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Harvey
Law Firm & Enterprise Legal Agents

Integrations

Only Harvey

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