Second, the law firm needed to prepare for interviews with key players, which necessitated incorporating new documents on an on-going basis into the review process. Furthermore, the review focus and scope changed each day based on the particular custodians’ interviews.
In the first phase of the project, the client and its outside counsel worked with OpenText to develop filters in OpenText™ Insight Predict to create simultaneous but separate review streams that accommodated rolling document collections into the process. The filters enabled the prioritization of review for documents associated with specific topics of interest, and new ones that emerged on a daily basis based on that day’s interviews with new custodians. Through date and custodian restrictions, the collection was narrowed to 112,000 documents for prioritized review.
The creation of separate review streams reduced the number of subject matter expert attorneys that needed to review the documents, along with associated legal fees. In the first stream, which included documents containing accounting subject matters, a special tax attorney reviewed prioritized documents in the system to identify documents of interest. These findings then led to the identification of additional custodians of interest, subsequent interviews and rolling document collections that needed to be immediately loaded into the system.
A separate finance review track was also created that included prioritized documents related to more general corporate finance subject matter. More than 50 percent of the documents prioritized by Insight Predict were deemed relevant.