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Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous active learning methods to advanced large language models. As this transformation unfolds, understanding precisely what is realistic now, what’s imminent on the horizon, and what remains purely speculative is essential for legal professionals and e-Discovery technologists alike.
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As AI continues its rapid march through the legal industry, law firms are facing a new kind of strategic imperative. No longer is the question whether to use AI — but rather how to do so responsibly, effectively and competitively.
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This two-part series summarizes modern security practices as advised by NIST’s latest guidelines, a framework that prioritizes proactive, resilient and user-friendly strategies. Part One of the series, published in last month’s issue, offered 10 must-know tips to improve personal cybersecurity; Part Two shares 10 tips to take your firm or organization’s security from good to great.
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While the case discussed in this article involved medical health technology, the implicated issues inform patent strategies for AI enabled inventions across all industries. Patent applicants should expect to see reliance by the Patent Office not only on its 2019 Guidance but also on its examples illustrating application of the guidance in the context of AI related innovation.
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A quick-service restaurant holding company’s plans to use artificial intelligence to enhance customers’ ordering experience is highlighting a new era of cyber liability risks. Data privacy concerns continue to drive lawsuits, and plaintiffs’ attorneys continue to seek creative ways to litigate privacy violations alongside rapidly evolving AI technologies, often bringing claims under laws that predate the internet itself.
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Five new state privacy laws took effect in January 2025 — Delaware (DPDPA), Iowa (ICDPA), Nebraska (NDPA), New Hampshire (NHPA), and New Jersey (NJDPA) — adding to the compliance maze for businesses operating across state lines. This latest wave of legislation creates a patchwork of requirements that include critical variations in three key areas: applicability thresholds, covered data categories and enforcement protocols.
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A federal judge handed Meta a major win on June 24 in a closely watched copyright case over its use of books to train large language models, but the ruling stopped well short of giving tech companies blanket protection to scrape creative works for artificial intelligence.