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This article summarizes the DOJ's recent guidance and the SEC's enforcement trends and priorities in this area, and it provides information governance best practices companies can implement now to ensure they are meeting regulators' expectations and recordkeeping rules.
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The Internet is still standing, but the Supreme Court's reasoning in theGonzalez opinion remains perplexing. Gonzalez and Taamneh are a story about how the Supreme Court "saved" the Internet from itself, and the Court needed both cases to do so.
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Active reading comprises many daily tasks lawyers engage in, including highlighting, annotating, note taking, comparing and searching texts. It demands more than flipping or turning pages.
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Data breaches have become a common occurrence, and any organization, regardless of location, size and industry, can be attacked. This article summarizes key steps and recommendations for responding to and handling a data breach quickly and effectively.
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The Florida law, which will go into effect on July 1, 2024, positions itself as an outlier among other state data privacy regulations.
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With new employees come new risks; from aspiring insider threats that intend to join a target to extract sensitive information, to insecure processes being exploited due to too much trust being placed in candidates and new hires.
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Failing to pay attention to shifting data privacy and security regulations can be costly. Here's an overview of what's been happening — and what's likely to happen next — in the world of data privacy and security.
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Having an AI policy that outlines acceptable use, and documenting assessments that establish that AI systems are used in a manner consistent with the policy and that the benefits outweigh potential harms, can go a long way in managing legal and reputational risk.
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For legal stakeholders seeking to take their existing legal operations programs to the next level or start new programs from scratch, there are a few all-too-easy traps that can stunt growth, cost political capital and cause headaches. Having a strategic plan, budget and critical executive buy-in is not enough to avoid these four common issues.
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AI language models are trained on massive amounts of data to function and improve. The more data the model is trained on, the better it gets at detecting patterns, anticipating what comes next, and producing realistic text. Right now, however, there are few controls in place to stop these models from scraping personal and private information from people and business.