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Document AINLPAutomation
Intelligent Document Processing
Client: Legal Tech CompanyIndustry: Legal / Professional ServicesTimeline: 8 weeks
85%
Time Saved
99.2%
Accuracy
3x
Cases/Week
The Challenge
Manual document review taking 20+ hours per case, high error rate.
- —Legal firm processing thousands of documents per case
- —Junior associates spending 20+ hours on document review per case
- —Human error rate of 3-5% causing costly oversights
- —Difficulty scaling to handle growing caseload
Our Solution
AI system that extracts, categorizes, and summarizes legal documents automatically.
Approach
- 01Built custom document ingestion pipeline for various formats (PDF, DOCX, images)
- 02Trained specialized models for legal document classification
- 03Implemented entity extraction for key legal terms, dates, and parties
- 04Created summarization system with source citations for verification
Technologies Used
Anthropic ClaudeOCRVector DatabaseCustom NLP
“What used to take our team days now takes hours. The accuracy is incredible - better than manual review. We've tripled our capacity without hiring.”
Michael Torres
Managing Partner, Legal Tech Company
What's Next
The project continues to evolve. Here's what we're working on next:
- →Adding contract comparison features
- →Integrating with case management system
- →Building precedent search functionality