eDiscovery Acceleration: How OSINT Reduced Document Review by 60% in a $50M Litigation

Background

A law firm representing a client in $50M commercial fraud litigation was facing a 2 million document review corpus. Traditional eDiscovery keyword searches were producing too many false positives, inflating review costs.

Investigation Methodology

1. Subject Matter OSINT: We conducted comprehensive OSINT on all named parties to establish known aliases, associated companies, communication platforms, and relationship networks.
2. Intelligent Filtering: Using OSINT-derived intelligence, we created targeted search parameters that went beyond simple keyword matching — incorporating known email aliases, code words identified in public communications, and date ranges tied to specific confirmed events.
3. Relationship Mapping: We built a network graph of all parties and their known associates, which was used to prioritize documents involving key relationship clusters.

Key Findings

• OSINT revealed 7 previously unknown email aliases used by the defendant, which were critical to capturing relevant communications.
• Public filing analysis identified 3 shell companies not included in the original document collection scope.
• Social media analysis of key witnesses established relationship timelines that allowed date-range filtering with high precision.

Outcome

The 2M document corpus was reduced to 800,000 highly relevant documents, saving approximately $1.2M in review costs. The focused review uncovered a critical "smoking gun" email within the first week. Total investigation time: 3 weeks.