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Showing content with the highest reputation on 03/19/2019 in all areas

  1. I think what Todd is likely referring to is a Relativity-centric concept rooted in the so-called search term report (STR), which calculates hits on search terms differently than Intella. I know I have communicated about this issue in the past via a support ticket, and created such a report manually in Intella, which is at least possible with some additional effort involving keyword lists, exclusion of all other items in the list, and recording the results manually. What the STR does is communicate the number of documents identified by a particular search term, and no other search term i
    1 point
  2. In the ediscovery world, we are bombarded by both vendors and developers heralding the promise of advanced text analytics capabilities to effectively and intelligently reduce review volumes. First it was called predictive coding, then CAR, then TAR, then CAL, and now it's AI. Although Google and Facebook and Amazon and Apple and Samsung all admit to having major hurdles ahead in perfecting AI, in ediscovery, magical marketing tells us that everyone but me now has it, that it's completely amazing and accurate and that we are Neanderthals if we do not immediately institute and trust it. And a
    1 point
  3. We have recently considered a new deployment scenario for CONNECT. It turned out not to be viable as it would require purchase of many more Microsoft server CALs and other Microsoft licenses at significant cost. Hence I wanted to raise the question what it would take to have the CONNECT server run in Linux instead of Windows (excluding index creation)? As it is a Java application it would seem to be portable (possibly with loss of functionality such as PST creation). Any thoughts?
    1 point
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