Powerful 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.

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eDiscovery Certifications – Industry & Software Specific Certifications to Further Your Career

Education is a core part of eDiscovery. The discovery process is full of nuances, ranging from the different technology used to the workflows and methodologies implemented. It’s important for legal professionals to maintain a level of familiarity with these specific workflows relating to the various stages of discovery. However, taking your knowledge in eDiscovery to…

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EDRM releases TAR Guidelines (2019)

Guidelines aim to define and demystify technology-assisted review and to encourage widespread adoption of TAR processes EDRM has released a comprehensive set of guidelines that aim to objectively define and explain technology-assisted review for members of the judiciary and the legal profession. The goal, editors say, is to provide a wide audience with an authoritative…

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