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Integrating AI tools into legal practice without compromising the security of sensitive client information is a paramount concern. In this article, we'll examine how AI is revolutionizing certain aspects of legal work, while offering best practices for employing these technologies and providing guidance for legal professionals in selecting the right AI products and service providers.
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The increasing frequency of "bring your own device" policies creates serious implications for subpoena recipients and litigants to ensure compliance with discovery demands. And courts across the country consider such personal mobile data fair game. To avoid pitfalls —and sanctions — counsel must take proactive steps to ensure proper preservation and collection of personal mobile data and verify that clients comply.
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Like so many other features of the MHMDA, data subject rights are deceptively complicated and have the potential to create significant administrative hurdles to getting it right. In this article, we examine the tricky issues in our MHMDA FAQs and take a deep dive into data subject rights.
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AI is designed to accomplish goals specified by and receive directions from a human being. Thus, it has been suggested that either direct or vicarious liability may be applied to hold the human programmer who wrote the software algorithms liable for the damages caused by the AI agent.
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This article provides guidance on the standards courts apply in determining ownership rights over social media accounts, as well as best practices to head off such disputes before they occur.
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Many employers struggle with not only identifying what is private protectable information, but also how to safeguard that information while also protecting the company's own business interests. Given the increased costs of litigation, it is critical that employers understand their obligations under the law and how to strike a legally compliant balance between these competing interests.
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Most of the legal industry has by now boarded the generative artificial intelligence train, filling up conference sessions dedicated to the topic, testing new legal technology solutions and exploring the emerging legal questions that the technology will pose. But most of their questions about generative AI are still unanswered.
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The assessment and audit requirements of the new generation of state data protection laws will force U.S. companies to move beyond mere window dressing and instead require them to develop fulsome data protection programs.
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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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Hackers are using AI to sift large digital data to identify more convincing approaches for their scams as well as weaknesses in weaknesses in software coding or network security.