AI-Powered Document Processing System
The Result
Reduced document processing time by 80%. Firm reallocated 3 staff to higher-value work.
The Challenge
A mid-size legal firm processed hundreds of documents weekly — contracts, court filings, client correspondence. Three paralegals spent their entire week reading, categorizing, and extracting key information from these documents. The process was slow, error-prone, and a bottleneck for the entire firm's operations.
Our Approach
How We Built It
Analyzed 500+ sample documents to understand classification patterns and extraction needs
Built an OCR pipeline using Tesseract for scanned documents and PDF parsing for digital files
Trained a classification model using OpenAI fine-tuning on the firm's document categories
Implemented a RAG pipeline for intelligent search across the document archive
Created a React review dashboard where lawyers can verify AI classifications and make corrections
Set up confidence scoring so low-confidence documents are flagged for human review
Tech Stack
Every technology choice was driven by the project's specific requirements and constraints.
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