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Case studies

Reduce the number of materials necessary for review

How predictive coding could aid the review workflow and drive down costs

Through collaboration between Deloitte Discovery and the client's eDiscovery team, Deloitte's Dynamic Review was used to reduce the materials needed for review by sixty percent.

The challenge

A global entertainment company needed to comply with a Foreign Corrupt Practices Act investigation. But using keyword search terms that counsel negotiated with the Department of Justice resulted in more than 140,000 documents for review. The client’s counsel was familiar with the concept of “predictive coding”, but had reservations about using the process on the project. After all, the project was rather small and counsel expressed hesitation about the value of using technology to assist in the review process. Therefore, the client’s counsel needed to be convinced on the effectiveness of the technology and process, as well as how it would add value to the end results.

How we helped

Deloitte applied Dynamic Review in parallel to the documents already undergoing a linear review. As the review continued, Deloitte utilized documents coded during the linear review to create an analytical model and then scored the remaining review population for the likelihood of responsiveness. Careful analysis of the predictive model against the manual coding indicated a strong correlation. Based on these results, counsel approved prioritizing the review of the remaining documents utilizing Dynamic Review’s scoring. As the review moved from the highest to the lowest scored documents, counsel monitored the steady drop in document responsiveness rates. Finally, upon completion of the review, the responsiveness rate of the group of documents indicated by Deloitte as most likely to be responsive was 73.17 percent, compared to the 10 percent overall responsiveness rate of the linear review. Armed with this information and the positive experience with the Dynamic Review process, counsel agreed to leverage the process on the next set of documents slated for linear review.

The next set of documents resulting from a keyword search were scored and reviewed using the same approach–moving from the highest to lowest scores. As the team moved into the lower scored documents, the same drop in responsiveness rate was observed. Once the top eight of 10 groups of scores, or “bands”, had been reviewed, counsel performed a statistical analysis of the remaining documents. Based on that analysis, counsel determined that no review of the two remaining bands was required due to the low responsiveness rate. Fully sixty percent (60 percent) of the documents that would otherwise have been reviewed in a linear fashion were excluded from review based on prioritization using Deloitte’s Dynamic Review.


The client and its counsel were able to achieve the objectives of understanding how predictive coding could aid their review workflow, prioritizing documents based on responsiveness, and ultimately driving down costs by avoiding unnecessary review of documents that were statistically not responsive.

Four key factors contributed to the project's success:

1. Collaborative consultation with counsel’s eDiscovery team provided transparency and confidence in both Deloitte’s process and analytical modeling

2. Targeted review based upon Dynamic Review clearly demonstrated an improvement over linear review

3. Statistical analysis validated the choice to not review sixty percent (60 percent) of the universe that hit search terms

4. Counsel’s eDiscovery team was able to monitor the entire process and was assured that Deloitte’s processes were efficient and effective

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