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e-Discovery Techniques For Filtering Responsive Data

As most e-discovery vendors will happily tell you, 99% of all new business information is being created and stored electronically, and an estimated 60 billion e-mail messages are sent daily in the U.S. Sifting through all this data in a meaningful manner requires strategic thinking. On one hand, parties have an obligation ' and courts have created incentives ' to be fully forthcoming on electronic discovery requests. On the other hand, processing and reviewing data collected from hundreds of desktops and servers can become very expensive. During the e-discovery search process, even the most strategic keyword selections can leave a lot to be desired. Even case-specific terms may generate a lot of hits, but it may also produce more false positives than relevant material. Creating a strategic plan for data filtering through a well-researched selection of keywords and file types helps to ensure efficiencies in cost, time and resources, while generating fully forthcoming materials.

17 minute read October 29, 2007 at 10:57 AM
By
Brian Larsen
e-Discovery Techniques For Filtering Responsive Data

As most e-discovery vendors will happily tell you, 99% of all new business information is being created and stored electronically, and an estimated 60 billion e-mail messages are sent daily in the U.S. Sifting through all this data in a meaningful manner requires strategic thinking.

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