Perfect Impact
legal
Autonomous Document Extraction Pipeline
Created a fast, efficient and low cost data extraction pipeline using small language models instead of OCR.
The Challenge
Third party document intelligence pipelines charge per page and offer accuracy ranging between 80 to 100 percent. Support is not ideal and the costs are not scalable.
The Solution
Built a pipeline which can be deployed at a click of a button using open source software and open weight small language models.
The Results
Attained speeds of around 8 pages per second with average 97 % accuracy rate on hard clause and even higher on soft clause. Also added mcp server for AI agent integration and sdk's for python, typescript and ruby.
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