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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 Case 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.


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