In a merger between two healthcare industry companies, the Federal Trade Commission (FTC) issued a quick look as part of the second request process. Working under a compressed timeline, outside counsel engaged FTI Consulting to quickly structure a review and stabilize the Brainspace Technology Assisted Review (TAR) model so the parties could determine the risk level of overproducing and prepare the dataset for production to the FTC. A first set of documents had been submitted to regulators, with a second production due just as the COVID-19 pandemic reached the U.S. and self-isolation orders were being implemented.

Our Role

As all of these factors came to a head, the COVID-19 pandemic was hitting the U.S., and states were beginning to issue stay-athome orders. FTI Consulting was committed to completing the review before review centers were closed, to avoid unexpected and costly delays for the client’s production to the FTC.

While coordinating with the client and its third-party collection vendor to gain access to the full set of 3.9 million electronic and paper documents, FTI Consulting set to work on preparing the review. Using Brainspace’s Continuous Multimodal Learning (CMML), a flexible interactive TAR tool, FTI Consulting customized an innovative workflow around this capability. This allowed the team to begin training the analytics model before all the data was received.

Reviewers were divided into three teams. One team of five reviewers (subject matter experts) was given sample sets of documents for which they determined, based on predetermined criteria, the relevancy of each document. Decisions were continuously used to train the CMML model until it reached a sufficient level of accuracy and recall based on an independent statistically significant validation set.

While the model was being trained, a second team of reviewers was provided with documents that could not go through the prediction process, including images, multimedia files and scanned paper documents from which text could not be easily pulled. The team reviewed these documents individually for responsiveness and privilege.

A third team of specialized reviewers worked on a highly focused review of the predicted responsive documents. FTI Consulting implemented a smart analytics approach to produce non-privileged documents from the predicted responsive population. The steps included ongoing keyword refinement, domain analysis, name count analysis, concept clustering, and leveraging all available metadata to determine what could be safely produced and what needed more intensive review.

Our Impact

  • When impending COVID-19 related shelter-in-place orders threatened an on-time completion of the review and production, FTI Consulting accelerated the matter, bringing both teams in over the weekend to complete the work. The review was completed prior to review center closures, and the team worked with counsel to overcome additional COVID-19 related challenges in producing the final dataset to the FTC.
  • Innovative, advanced workflows allowed reviewers to begin training the analytics model and start review while awaiting delayed data collections. This enabled review of nearly 4 million documents in a matter of weeks, providing two on-time, second request productions to the FTC amid a mounting global crisis.
  • FTI was able to reduce the human review to just 20% of the total predicted responsive population and produce the documents with confidence that privileged material was not handed over.