Automating 90% of finance and legal work with agents

Source: OpenAI Date: 2025-03-25 URL: https://openai.com/index/hebbia

Summary

Summary

A case study (URL slug: hebbia) covering Hebbia’s use of OpenAI models to automate complex finance and legal document analysis workflows — claiming up to 90% automation of document-intensive tasks like due diligence, contract review, and financial filings analysis. Hebbia is an enterprise AI platform built specifically for professional document work in finance and law.

Implications

Agentic engineering/enterprise thread. The 90% automation claim for finance and legal document work is striking and reflects the genuine capability of document-reading AI for structured, standards-based professional work. Due diligence and contract review involve identifying specific clauses, comparing documents against standards, and flagging anomalies — tasks well-suited to systematic AI analysis. Hebbia’s case study also positions the firm at the high end of enterprise AI deployment: law firms and financial institutions are among the most careful enterprise AI adopters, and their willingness to deploy at this automation level signals category maturity. The professional liability question — who is responsible when AI-assisted legal or financial analysis is wrong — remains an active issue.