Using Custom Development for Difficult Data

Identify and collect all file path references, then determine how to associate them with their corresponding files.

Our client had a unique situation that required the linking of thousands of emails and loose documents in a cloud repository. The difficult part was that standard eDiscovery processing software is unable to systematically link referenced documents in an email to loose documents in a cloud repository.

Most eDiscovery projects are standard and can be automated with the right software. Some projects, however, are outliers with complex challenges. While these circumstances may vary, there is always one common thread: the more time it takes to collect, normalize, and present data to the legal team, the more it costs the organization.

The Solution: Define & Identify Text-Specific File Paths

Repario and the client worked together to isolate and define a pattern of text-specific file paths. Then, the teams were able to search across all emails to detect and identify those paths.

  • Extraction: Repario built an application to automate the capture and population of paths into queryable and unique fields
  • Association: Writing a custom script made it possible to link the identified files back to the emails referencing them as a relational record
  • Normalization: Normalizing the data enabled continuous document review of emails and referenced documents

RESULTS: Time Saved with Precise Automations

  • 100 Hours saved with automation
  • 80% Reduction in review needs and 50% reduction in workload size
  • Increased overall quality and precision

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