Developed a custom eDiscovery solution to process over 6 million email pages within a tight deadline when traditional platforms proved cost-prohibitive.
Results
- Dismissed over 50% of the dataset as duplicated content through checksum hashing and bag-of-words analysis
- Reduced relevant documents from 6 million to approximately 50,000 (8.3% of original)
- Final resolution involved just 80 documents
- Completed in 90 days with a two-person analyst team
- Over 600% return on investment vs. comparable platforms
The solution included data cleansing, metadata standardization, and indexed storage in a managed ElasticSearch cluster.
Henry Law Firm
Tech Stack
Python
Django
ElasticSearch