Posts Tagged ‘eDiscovery Analytics’
How Data Analytics can Empower Strategic Data Decisions
The sheer volume of data is exploding, so much so that a puny one gigabyte of storage on one lowly flash drive could produce up to 100,000 pages of printed material. The data generated worldwide already has surpassed enough printed pages to comprehend.
Read MoreE-Discovery Processing Workflows Explained – What is De-NISTing?
De-NISTing is the standard eDiscovery practice of removing system files, and other non-user generated ESI from a dataset during the data processing stage. NIST refers to the acronym of National Institute of Standards and Technology.
Read MorePowerful eDiscovery Analytics: Utilizing Cluster Wheel Visualization, Concept Searching, & More
Data analytics can play a huge part in reducing the overall size, time, and cost of a review project. When applied effectively, analytics not only help identify relevant data sets more efficiently but also aid in culling down data to a manageable size. With today’s evolving tech landscape , eDiscovery analytics tend to be powered by machine learning and AI technology.
Read MoreDigital Forensics – Stage 2: Electronic Discovery Processing & Analysis
Once the data has been identified through appropriate data mapping techniques, and defensibly collected by a certified forensic examiner the data moves onto the next stage within the electronic data reference model (EDRM). Following collection, the data will need to be processed for electronic discovery and further review. This can include converting file types into archivable structured formats to maintaining the files in native format for review.
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