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Pre-Processing Analytics Can Reduce Data Volume Before Processing and Review

The Way eDiscovery Should be Done…



90seconds (1)It wasn’t that long ago when litigators spent as little time as possible working with data in the early phases of a case.  The goal used to be to limit the cost of litigation during the early phases of the case (sometimes right up until trial) so actually performing analysis on the Electronically Stored Information was delayed as long as possible.  Times have changed; data has grown more complicated and voluminous and judges are beginning to enforce the Federal Rules of Civil Procedure, particularly 26(f) regarding the expectations of the “Meet and Confer”.  With judges placing more emphasis on the Meet and Confer and enforcing the requirements for exchanging preliminary information in order to keep litigation on track, it has become imperative that lawyers understand the scope of the potential document population as well the basic content as soon as possible.  The Question is:  How can this goal best be accomplished?


The faster that lawyers understand what information is available, the easier it is to prioritize and process that information, providing early understanding of the facts of the case.  So starting right after raw information has been captured, Cavo eD has designed Rapid Data Explosion and PreProcessing analytics tools to provide unprecedented access to information for Early Data Analysis.  The more you know about your data, the better you can represent your clients.


Cavo eD includes an extremely fast and efficient data explosion process that unpacks ZIP,PST and other container files exposing details that allow analysis, filtering and culling to occur immediately.  Exploding rates of 650-800 GB/hour (depending on file density) form the backbone of the tool.  Once exploded, users can examine the exploded files and related metadata and begin to filter, cull and categorize the information.  Metadata fields can be used to determine whether expected data is included and to assign processing priorities to move the document review onto a fast track.  This allows the following tasks to be easily accomplished:

  • Determining early on that critical custodians or certain date ranges are missing from the collection, something that might not otherwise be identified until after data is processed.
  • Analyzing the data down to individual email to see whether the collection is complete and identifying early priorities for examination.
  • Processing priorities can be ordered by key custodian, date ranges, keywords in metadata, document type or entire corporate entities if that makes sense to the team.
  • All of which leads to an early understanding of the data in the corpus.

Data explosion with culling analytics is the single most powerful tool that can be used to reduce the total volume of data to be processed and reviewed.  Service providers using Cavo eD can provide assistance in using this tool most effectively and will work with you to gain an early understanding of the data corpus.

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