It is no secret that the majority of the cost of discovery resides in the cost of the review. Often, more than 80% of total electronic discovery costs can land here. It is exactly that challenge that necessitates the assistance of an e-discovery provider who has the experience and capacity to analyze large amounts of data. Whether, you have millions of documents to cull through, or just limited time, Evident’s Early Review Assessment can help you perform the most thorough and cost effective review.

Evident’s Email Culling by date range, custodian and other email analytics can help you save time and money from the beginning, and throughout the review process.

In addition to traditional Keyword and Boolean searching, Evident offers Conceptual Search capabilities. This method indexes the entire population of documents, learning conceptually how they relate to each other across all common languages. Concept searching goes beyond synonym or keyword matching to include all documents that describe the same subject matter or concepts, regardless of the specific terms or words used. The Evident Conceptual Search engine was developed by Bell Laboratories for the Central Intelligence Agency (CIA) and other Government Departments. It is proven, defensible and repeatable search method that is used to cull down documents in cases of all sizes

Use Dynamic Clustering and Categorization to organize large document collections. Clustering analyzes all of the documents in the collection dynamically, and then places them into a hierarchy of folders and sub-folders based on concepts. Categorization allows you to organize your complete document set based on your case’s most important issues.

Evident’s suite of analytic tools helps clients cull down review sets, identify responsive vs non-responsive, confidential and privileged documents, by using email culling analytics, traditional search methods, and conceptual search, along with dynamic clustering and categorization.