eDI's customized Review Automation features create substantial reductions in the overall cost and duration of the review process, while simultaneously increasing reviewer efficiency.
                                  

CASE STUDY

A corporation is entering the review stage of a high-volume matter, and it faces the enormous logistical challenge of having to review vast numbers of documents in a compressed time frame.  Within the expedited schedule, individually reviewing each and every document quickly becomes unrealistic.  Every additional hour of reviewer time that must be spent culling down the data set to identify responsive material puts its production deadline in jeopardy.

The corporation has an urgent need to control the scope of its review, and it seeks a strategy that will refine its collection to the most relevant documents, and dramatically increase its review efficiency.

THE eDI SOLUTION

To help the corporation streamline its review process and meet its production deadlines, eDI offers its Review Automation capability.  This process utilizes expert-guided statistical and self-learning techniques to create an advanced review methodology for automatically identifying relevant/non-relevant material and organizing the review set according to these relevance rankings, in turn facilitating the prioritization of the entire document collection. 

Once the data set has been prioritized, the corporation's review process is vastly simplified by enabling reviewing attorneys to immediately focus on the most relevant documents.  Having the ability to both eliminate irrelevant documents, and easily locate key documents can potentially cut the corporation's overall review time by as much as 90% percent.