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As new tech emerges, agencies sometimes adopt mission by mission, creating layers of systems that weren’t designed to work together. The result is an enterprise where data doesn’t move freely and systems may not communicate with each other.


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Sales force interactions with healthcare professionals are among the highest-risk commercial activities in the life sciences industry. Learn how in-house commercial compliance professionals can apply AI to strengthen oversight of this activity – without sacrificing regulatory judgment.


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At RelFest London 2026, Relativity showed what reimagining legal looks like in practice – aiR Assist and custom analyses in aiR for Review general availability, a Microsoft Word integration via the acquisition of Gavel, and an early look at a brand-new experience built for lawyers, all designed to put AI at the center of legal data intelligence project.


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Many organizations approach AI-powered legal data review as a technology problem. While the technology itself is critical, it is only part of the equation. The rest is transforming the workflows that govern how legal teams identify, prioritize, analyze, and act on information.


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Redgrave LLP recently conducted a head-to-head study comparing a generative AI review workflow to a first-pass managed review workflow using active learning. For legal teams thinking about how gen AI may fit into their legal projects, five practical lessons stood out.


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