By Helen Geib, QDiscovery
Good planning is the common denominator of successful e-discovery review projects. Planning builds on the work done during the identification, processing and analysis stages. Clear goals must be set at the outset. Finally, you need to assign the right people to the review team.
E-discovery review builds on what’s come before
Each successive stage of the Electronic Discovery Reference Model (EDRM) builds on the preceding stages. Nowhere is this truer than review. The full universe of the client’s electronically stored information (ESI) is the starting point of every e-discovery project. By the review stage, that ESI has been repeatedly assessed and filtered.
Identification locates potentially relevant ESI for review and production. Collection copies the identified ESI for processing and review. Both identification and collection aim to limit copying non-relevant files to the extent possible to minimize unnecessary review.
Next, processing prepares the collected data for review. Data is formatted to load into an eDiscovery review database. Large volumes of non-relevant files are culled through de-duplication, de-NISTing (NIST is an acronym for the NationL Institute of Standards and Technology) and data filtering.
Analytics tools are then used to remove more non-relevant files from the dataset prior to review. In addition, the processed data is organized and prioritized for review.
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