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SCORE 7/1018/20 elements Audited 2026-07-29 · RXed table v1.0

Harvey

“AI software for legal and professional services” — the vendor’s own words

Harvey won legal-AI distribution — 100,000+ lawyers, majority of the AmLaw 100 — but a rival's own published benchmark has it scoring below raw Claude on answer quality; you're paying ~€1,050+/seat/month for the workflow and security wrapper, not the smartest model in the room.

Enterprise platformResearchAutomation & AgentsProductivityPaid
Vendor
Harvey (Counsel AI Corporation) · www.harvey.ai
Origin
US — San Francisco
Pricing
Small/specialized firm (25-50 attorneys) $1,500-2,000+/user/mo · Mid-market (50-200 attorneys) $1,200-1,500/user/mo · AmLaw 100 (200+ attorneys) $100-200/user/mo
Users (official only)
100,000+ lawyers across 1,300+ organizations in 60+ countries; majority of the AmLaw 100, 500+ in-house legal teams, 50 asset management firms. (source, 2026-03-25)
Small/specialized firm (25-50 attorneys)$1,500-2,000+/user/mo$50K-100K/yr contract, 25-seat/1-year minimum (reported, not published)
Mid-market (50-200 attorneys)$1,200-1,500/user/mo$100K-250K/yr contract, 50-seat/1-year minimum (reported, not published)
AmLaw 100 (200+ attorneys)$100-200/user/mo$250K-1M+/yr, 100+ seats, multi-year typical (reported, not published)

Fully custom, sales-led, no public rate card, no self-serve, no free trial. Premium support runs ~18% of license value on top; custom model work billed separately.

checked 2026-07-29 · vendor pricing page

Element scores

Reactive
Retrieval & Memory
Orchestration
Validation
Models
Primitives
Pr7.5
Prompts
Em5.5
Embeddings
Cx8
Context
Tr7.5
Tracing
Lg7
LLM
Compositions
Fc7.5
Function calling
Vx5
Vector store
Rg8.5
RAG
Gr6.5
Guardrails
Mm6.5
Multimodal
Deployment
Ag8.5
Agents
Ft4
Fine-tuning
Fw8
Frameworks & harnesses
Ev5
Evaluations
Sm5.5
Small models
Emerging
Ma7
Multi-agent
Sy
Synthetic data
Pc7.5
Protocols
In
Interpretability
Th6
Thinking models
Tap or hover any element to see why it got that score.

Strengths

Distribution is the moat: 100,000+ lawyers, majority of the AmLaw 100, 500+ in-house teams across 60 countries. Vault's bulk cross-document analysis (100,000 docs/project) is a genuinely differentiated M&A-diligence tool, security posture is enterprise-credible (SOC 2 Type II, ISO 27001, first AI/LLM startup certified under the EU-US Data Privacy Framework, EU/Switzerland/Australia data residency), and Agent Builder lets non-engineers ship custom workflows.

Honest dings

No independent, methodology-public accuracy benchmark from Harvey itself — a competitor's own published 19-model comparison scored it below raw Claude on every legal task category, and independent testers keep finding hallucinated citations on niche jurisdictions and recent case law. Pricing is fully opaque with a ~€250K+/year floor and steep add-ons (training, premium support, optional fine-tuning that contradicts the "we never fine-tune on your data" security claim).

Best for: Mid-to-large law firms and corporate legal departments doing high-volume US federal/major-state document work, with the budget and governance discipline to fact-check every citation before it reaches a filing.
Visit harvey.ai Prices and details change — this passport is re-verified at least quarterly.

Sources

Every audit lists the research it rests on — transparency and traceability are the product. Tools evolve: each audit is a snapshot of its audit date, and re-audits supersede older versions (kept below for reference).