Henry Law Firm

eDiscovery Document Processing

Automated legal document analysis with ElasticSearch

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

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