69
Stack Score
Editorial pick✓ Verified working
Hebbia
AI for unstructured data — built for finance and legal.
Best for
Investment banks, hedge funds, and law firms processing 10K-page document piles.
At a glance
- Pricing
- enterprise
- Setup time
- Weeks
- Learning curve
- moderate
- Last verified
- 5/22/2026
What we love
- ✓Best UX for analyzing large doc sets
- ✓Citations exactly where you need them
- ✓Built for regulated industries
Where it falls short
- −Enterprise-only pricing
- −Heavy onboarding
- −Niche use cases
Pricing
✓ Pricing verified Jun 21, 20261 tier
Enterprise
Custom
contract
- ✓Matrix
- ✓On-prem option
- ✓SSO
- ✓Support
Why we picked it
Hebbia is what investment banks use instead of ChatGPT. Matrix layout for parallel doc analysis is brilliant — but priced for Wall Street.
Overview
AI for unstructured data — built for finance and legal. Investment banks, hedge funds, and law firms processing 10K-page document piles.
Key features
- ●Matrix UI for parallel doc analysis
- ●Source-grounded answers
- ●Custom workflows
- ●Citations to source pages
- ●On-prem or VPC deploy
- ●SOC 2 Type II
- ●Connects to data rooms
Best use cases
M&A due diligence
Query 5K PDFs across a data room.
Earnings analysis
10-K + transcripts → structured insights.
Integrations
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