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The cybersecurity landscape is on the brink of a transformative shift, with predictive analytics and behavioral analysis leading the charge for more resilient and adaptive defenses.
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In this era of more with less, marketers desperately need tools to fill in the gaps between more and less. One potential tool should be the firm's customer relationship management software.
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The emerging cases by authors and copyright owners challenging various generative AI programs for using copyrighted materials are certain to create new troubles for the courts being asked to apply the fair use doctrine to this important new technology.
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It is imperative that every organization acknowledges and takes seriously the potential harm that can be caused by insiders who misuse AI as a weapon for personal gain or to settle scores.
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The EU AI Act solidifies one of the world's first comprehensive attempts to bring governance to unlock innovation in AI. U.S. companies have asked, what exactly does this development mean for their businesses?
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The need for precise, accurate, and comprehensive data analysis is paramount in class action litigation, where the stakes are high and the complexities manifold. At the heart of this change is the rising tide of litigation analytics.
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Our annual poll of experts on the trends and developments to watch out for in 2024 in AI, data privacy, cybersecurity, e-discovery and more.
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We caught up with an actual, real-life scientist, Jeremy Pickens, Head of Applied Science at Redgrave Data, for a Q&A that ran the gamut from a history of AI, to how one becomes a data scientist, the difference between AI in consumer industry and legal, what we can expect from AI in 2024, LLMs on acid, and more.
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Artificial intelligence has dominated intellectual property news since the public introduction of OpenAI's ChatGPT, the generative AI chatbot, in November 2022. Now, 2024 starts off with court decisions and procedural rulings having taken shape in 2023 lawsuits that were filed over the collision of creative content with generative AI programs.
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A quantifiable look at whether GPT-4 is likely to live up to these expectations in the legal context and, more specifically, as it relates to document review in e-discovery.