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Intelligent Legal Document Pipeline with GPT-4o
10,000+ documents processed daily
10,000+
Documents processed daily
< 30 sec
Review turnaround
40%
Billable output increase
-78%
Cost per document
The Challenge
A legal services firm was spending significant associate time reviewing and summarising routine contracts, creating delays in client delivery and limiting the firm's capacity to take on new work.
Our Solution
We built an end-to-end document intelligence pipeline. PDFs are ingested, OCR-processed, chunked, and passed through a fine-tuned GPT-4o model trained on the firm's own annotated contract library. The system extracts key clauses, flags non-standard terms, generates executive summaries, and outputs structured JSON for downstream workflows.
The Outcome
The pipeline processes over 10,000 documents per day with a review turnaround measured in seconds rather than hours. The firm redirected associate time to high-value advisory work, increasing billable output by 40% without adding headcount.
Tech Stack
GPT-4oPythonLangChainTesseract OCRFastAPIPostgreSQLRedisAWS S3Docker
Category
LLM IntegrationBuild something similar?
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