Harvey vs Hebbia
A side-by-side comparison of Harvey and Hebbia, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Harvey
The default general-purpose legal AI at scale: Vault analyzes up to ~100K-doc collections, used across AmLaw 100 firms.
- Adopted by most AmLaw 100 firms
- Bulk doc analysis via Vault
- Grounds answers in firm's own materials
- Operates across 60 countries
- No public pricing, sales-only
- ~$1,000+/lawyer/mo, 20-seat minimum
- Tuned to big-firm billable workflows
- Heavy enterprise onboarding
Hebbia
Matrix answers each query as a traceable spreadsheet grid via an agent swarm over millions of docs, not one RAG pass.
- Spreadsheet-grid answers across docs
- Citation-first, source traceability
- Handles millions of documents
- SOC 2 / ISO 27001, no data training
- No public pricing, sales-only
- Heavy enterprise onboarding
- Overbuilt for small teams
- Answers a fixed doc set, takes no actions