The client needed to make a production to opposing counsel from a starting universe of ~60,000 documents. Our client was comfortable producing some not-relevant documents but knew that most of the ~60,000 search term hits would not be relevant, so we needed to apply further culling techniques prior to production.
The Solution: Using Analytics to Reduce Document Sets
Our PM team brought in one of Repario’s Relativity analytics experts to work with the client and PM team to set up email threading, clustering, and active learning to reduce the amount documents reviewed in the set of ~60,000 and the total number of non-relevant produced. Our team implemented various analytics techniques, resulting in the team reviewing ~8,000 documents out of the set of ~60,000 and made a defensible production of approximately ~13,500 documents.
The RESULTS: Saved Time and Money on Review
Client was able to save time and money on review. It also provided them with additional learning opportunities for the case team to better understand various analytics technologies, how and when to apply them, increasing opportunities to further utilize analytics and active learning for future engagements.
