The AI that reads 500-page contracts, 10-Ks, and due diligence piles in 3 minutes. Built for hedge funds, law firms, and deal teams.
Hebbia is the AI tool that does what junior analysts and associates spend 80% of their day doing: reading and summarizing massive document sets. Drop in 500 contracts, a 10-K, or a pile of due diligence files โ Hebbia reads them all in parallel, then answers natural-language questions with citations to specific pages and clauses. Used by 30%+ of the top hedge funds, 4 of the Big 4, and major law firms. It's not a search tool; it's a reasoning engine over your private data.
Who it's for: Investment analysts (hedge funds, PE, VC), lawyers (M&A, due diligence, compliance), consultants, and any knowledge worker drowning in documents.
Hebbia's signature feature: load 50 contracts, and it auto-builds a matrix โ every contract in a row, every clause/topic in a column, with AI-generated answers in each cell. Replaces 6 weeks of associate work.
Every answer includes inline citations: 'The change-of-control clause is in Section 7.2 of Contract 14, page 23.' Click and jump straight to the source. Auditable, defensible, no hallucinations.
Reads everything: 10-Ks, contracts, SEC filings, emails, call transcripts, Excel models, even scanned PDFs via OCR. Processes 500+ documents in 5 minutes.
Enterprise-grade security: SOC 2 Type II, optional on-prem deployment, SSO, full audit logs, permission inheritance from your data sources. The only AI tool legal will approve.
If you're a hedge fund, PE shop, law firm, or Fortune 500 deal team still doing document review the manual way, Hebbia will pay for itself in a single deal. If you're a solo founder, freelancer, or small business โ you don't need this, use ChatGPT or Claude. It's not a tool for the masses; it's a tool for the people who do $100M+ decisions based on 1,000-page documents.
Law firm-specific AI. Used by 40%+ of AmLaw 100 firms for legal research and drafting.
Enterprise AI search across all your SaaS apps. Slack, Drive, Notion, Salesforce, and 100+ connectors.
Customer service AI for enterprise. Bret Taylor + Clay Bavor โ the customer experience layer.
Best long-context LLM. The 200K context window makes it the engine under tools like Hebbia.