Culling and Filtering

Culling and Filtering

Litgisix provides support for law firms by providing eDiscovery solutions to help reduce costs associated with collection, processing, review and productions of electronically storeed information (ESI). One way to reduce costs in review of ESI is culling down the data set prior to attorney review. Litgistix works with law firms to set up criteria that can reduce costs of eDiscovery downstream by setting aside irrelevant documents. At the earliest stages of eDiscorvery, data culling begins by identifying sources of data, key custodians, key date ranges, and a plan for managing the eDiscovery process. Litgistix uses industry standard tools and techniques to assist in culling down data to a manageable size. Some common techniques in data culling include the de-nisting, deduplication, date/metadata filtering, and keyword searching. De-nisting is a fairly new concept and refers to the removal of operating system files, program files, and other non-user created data. The National Institute of Standards and Technology is a federal agency that administers a list of know software signatures, and our processing software has the ability to use this list with the data set to screen them against the known software signatures. Deduplication is the process of segregating exact duplicates in a data set. Using the has value (MD5 and/or SHA-1) that is created when the electronic data is processed and indexed, Litgistix can eliminate duplicate messages in email or duplicate copies of electronic data. Deduplication techniques can differ from case to case. For instance, it can be focused on a lone custodian’s data or across a complete data set. The methodology and scope of applying deduplication is specific to each project...
Delivery

Delivery

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