Teams spent days combing private data. Agents now reason across full documents to synthesize cited answers in seconds.
A software platform serving investors and lawyers who must analyze vast amounts of unstructured private data, from credit agreements and contracts to regulatory filings.
Teams spent days or weeks manually combing through materials, while standard retrieval tools achieved only 68% accuracy because they could not reason...
“We’re not just building a chatbot. We’re creating an agentic operating system that tackles the world’s most complex work.”
Hebbia's Financial and legal research is part of this use case:
AI platform for financial and legal document analysis and research.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Tax pros spent weeks sifting hundreds of sources. AI now synthesizes millions of documents into cited answers in seconds.
Teams spent days compiling earnings data. Now, agents parse 20TB of complex tables to generate compliance-ready research in minutes.
Analysts stitched insights from scattered PDFs. AI now retrieves buried data instantly, cutting memo creation from 2 days to 0.5.
Lawyers spent days reviewing hundreds of rulings. Now, AI scans 4.8M docs to draft citable opinions instantly.
Manually searching sensitive legal archives risked partial answers. Now, secure on-prem AI retrieves citation-backed arguments.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Teams spent days combing private data. Agents now reason across full documents to synthesize cited answers in seconds.
A software platform serving investors and lawyers who must analyze vast amounts of unstructured private data, from credit agreements and contracts to regulatory filings.
Teams spent days or weeks manually combing through materials, while standard retrieval tools achieved only 68% accuracy because they could not reason...
“We’re not just building a chatbot. We’re creating an agentic operating system that tackles the world’s most complex work.”
Hebbia's Financial and legal research is part of this use case:
AI platform for financial and legal document analysis and research.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Tax pros spent weeks sifting hundreds of sources. AI now synthesizes millions of documents into cited answers in seconds.
Teams spent days compiling earnings data. Now, agents parse 20TB of complex tables to generate compliance-ready research in minutes.
Analysts stitched insights from scattered PDFs. AI now retrieves buried data instantly, cutting memo creation from 2 days to 0.5.
Lawyers spent days reviewing hundreds of rulings. Now, AI scans 4.8M docs to draft citable opinions instantly.
Manually searching sensitive legal archives risked partial answers. Now, secure on-prem AI retrieves citation-backed arguments.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.