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Case Study: Culling 9.4M Documents from FTC Second Request Using Consilio Analytics

Written by Courtney Smith

Updated: Apr 14, 2021

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Client Challenge

A large hospital and physician network in the East Coast of the United States was faced with the daunting task of responding to a U.S. Federal Trade Commission Second Request involving over 11.2 million documents under tight time constraints.

Consilio Response

The client sought Consilio’s guidance on how to reduce the review volume in a manner that would be approved by the FTC. Based on Consilio’s guidance, the client secured the FTC’s agreement to apply both Email Threading and a TAR 2.0 Continuous Active Learning (CAL) workflow to limit the population for potential review and production.

Consilio experts then assisted the client in describing the TAR workflow to the regulator, including the statistical sampling methodology and the resulting reporting, all of which gave the FTC confidence in the process.

Results Achieved

Consilio applied several processes across the initial 11.2 million document set to achieve a 9.4 million document reduction:

  • 1.8 million removed via Email Threading
  • 3.2 million removed via file analysis (file type, extension, junk files, etc…)
  • 4.3 million removed via the TAR workflow with an 86% recall achieved

The expertise in developing and applying Consilio Analytics to large document sets presented the client with the opportunity to meet their tight timelines, reduce cost, ensure alignment of the deliverable with the regulator.

Client Challenge

A large hospital and physician network in the East Coast of the United States was faced with the daunting task of responding to a U.S. Federal Trade Commission Second Request involving over 11.2 million documents under tight time constraints.

Consilio Response

The client sought Consilio’s guidance on how to reduce the review volume in a manner that would be approved by the FTC. Based on Consilio’s guidance, the client secured the FTC’s agreement to apply both Email Threading and a TAR 2.0 Continuous Active Learning (CAL) workflow to limit the population for potential review and production.

Consilio experts then assisted the client in describing the TAR workflow to the regulator, including the statistical sampling methodology and the resulting reporting, all of which gave the FTC confidence in the process.

Results Achieved

Consilio applied several processes across the initial 11.2 million document set to achieve a 9.4 million document reduction:

  • 1.8 million removed via Email Threading
  • 3.2 million removed via file analysis (file type, extension, junk files, etc…)
  • 4.3 million removed via the TAR workflow with an 86% recall achieved

The expertise in developing and applying Consilio Analytics to large document sets presented the client with the opportunity to meet their tight timelines, reduce cost, ensure alignment of the deliverable with the regulator.

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