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To embed, copy and paste the code into your website or blog: Identifying attorney-client privilege is one of the most costly and time-consuming processes in ediscovery. Since the dawn of the workplace email, responding to discovery requests has had legal teams spending countless hours painstakingly searching through millions of documents to pinpoint attorney-client and other privileged information in order to protect it from production to opposing parties. As technology has improved, legal professionals have gained more tools to help in this process, but inevitably, it still often entails costly human review of massive amounts of documents. What if there was a better way? Recently, I had the opportunity to gather a panel of ediscovery experts to discuss how advances in AI and analytics technology now allow attorneys to identify privilege more efficiently and accurately than previously possible. Below, I have summarized our discussion and outlined how legal teams can leverage advanc

Ai technology improve privilege identification methodsTechnology assisted reviewPrivilege identification resultSearch termsAssisted reviewCan advancesPast work productMore than textNatural language processingLeveraging advancesஐ தொழில்நுட்பம் மேம்படுத்த ப்ரிவிலேஜ் அடையாளம் முறைகள்தொழில்நுட்பம் உதவி விமர்சனம்ப்ரிவிலேஜ் அடையாளம் விளைவாகதேடல் விதிமுறைஉதவி விமர்சனம்கடந்த காலம் வேலை ப்ராடக்ட்