For a case, one of the largest law firms in Colorado needed a way to manage over 650,000 documents. The primary goal was to identify which documents were duplicates.
Tasks included:
- Engineered a high-volume data processing pipeline to ingest and index 650,000+ legal documents for one of Colorado’s largest law firms.
- Architected a deduplication engine utilizing hashing algorithms to identify and isolate identical files, reducing the manual review workload.
- Implemented an automated OCR & conversion workflow to transform diverse file types into standardized, searchable formats (PDF, HTML, TXT).
- Developed a collaborative review interface featuring full-text search, document tagging, and a persistent commenting system to streamline multi-user litigation support.
Please contact me for more information regarding this project.