eMag Application Offers Access into Unstructured and Restored Data

Feb 02, 2007

eMag Solutions, an international electronic discovery company, has announced the availability of its new eMag PreVu software application. eMag PreVu, a raw data preview software application, provides a structured view into otherwise unstructured data, designed to allow users to better understand the scope of case information prior and subsequent to Meet & Confer sessions. This data is sortable and searchable by a variety of fields, including subject matter, keywords, content, context, custodian, metadata, and others.

Updates to the Federal Rules can shorten the time frame from the time a suit is filed to the Meet & Confer session where opposing sides sit down to discuss materials, processes, and schedules for discovery. The application allows users to view data structures and files in their raw native format prior to discovery processing. The PreVu user is also able to flag (include or exclude) at the tape, hard drive, directory, folder, and individual file level to expedite culling. PreVu also can allow users to more fully understand the data they are facing. The earlier attorneys get an overview of the subject matter, the more readily they can assess the merits and weaknesses of the case and prepare the strategy accordingly. This stretches beyond civil litigation to also include compliance and regulatory requests.

In addition eMag PreVu provides the ability to search and sort by server, custodian, directory, file type or date created/modified/accessed as well as perform full searches, including: subject matter, keywords, content, context, custodian, metadata, as well as fuzzy and wildcard searches. This application also offers idiom recognition and analysis of language structure down to word recognition at the root level. Users can save searches and their results performed using eMag PreVu and even create reports based on the search and sorting criteria they determine. The eMag PreVu is designed to allow companies and law firms to sort, search, and cull raw data in almost any manner.