Document Intelligence Pipeline
Extracting structured data from contracts and forms with human review.
Overview
Extracting structured data from contracts and forms with human review.
Challenge
Staff spent hours re-keying data from incoming documents into internal systems.
Discovery
Document types, exception rates and downstream systems were catalogued.
Architecture
Ingestion, classification, LLM-based extraction with validation rules and a review interface for exceptions.
Solution
Automated processing for standard documents; human review only for low-confidence cases.
Technology
Python, LLM APIs, PostgreSQL, React, Azure
Implementation
Evaluation set built from historical documents; accuracy tracked per document type.
Results
Client result data to be added.
What's Next
Extending to additional document types and languages.
More work
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