Hebbia is an AI document-analysis platform originally built for financial services and investment banking, now also used by BigLaw transactional and litigation groups for due diligence and document review at scale. Rather than a legal-first product, Hebbia positions itself primarily as "AI for Financial Intelligence" — legal is a real but secondary use case, per third-party reviews comparing it to legal-specific tools like Harvey.
The platform lets users build custom data tables ("matrices") across massive, heterogeneous document sets, with a chat interface for querying findings and citations back to source. It's used for diligence workflows, contract analysis, and litigation document review by deal teams and legal departments at financial institutions.
Hebbia is based in New York and raised a $130M Series B (a16z) in July 2024 at a reported $700M valuation. Its security page states customer data is not used to train or improve generalized or third-party AI/ML models.
Pricing is not publicly listed; third-party reporting places Professional seats around $10,000/year and Lite seats around $3,000-3,500/year, with custom enterprise contracts for larger deployments.