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The cybersecurity arms race shows no signs of slowing. Attackers continue developing more sophisticated techniques, forcing defenders to evolve accordingly. Generative adversarial networks (GANs) represent one of the most promising developments in the defensive arsenal, but only when deployed wisely. Organizations should evaluate their risk appetite and technical capabilities carefully.
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With generative AI, research time has collapsed and review time has expanded. The model can draft in minutes, which means you now spend more time asking whether the draft is accurate, defensible, and on brand. Prompting skill is not about magic words. It is about shaping the first draft so the review phase is shorter and you are not fixing preventable mistakes. A good prompt removes ambiguity, narrows scope, and sets expectations. The better the prompt, the less the scramble at the end.
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In the minds of your clients, trust and security are intertwined. As stewards of confidential client information, law firms must go beyond minimum compliance, setting a gold standard that safeguards data, builds confidence and differentiates forward-looking practices from the rest. The following seven strategies, drawn from real-world experience in legal technology, outline actionable ways law firms can fortify their defenses while making security a pillar of client trust and firm reputation.
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The federal judiciary’s electronic case management system, known as CM/ECF, was hacked in large-scale cyberattacks this summer. Although court officials are mum on the possible perpetrators, news reports have said investigators suspect that the hacking could possibly have been perpetrated by Russian state-linked actors. The far-reaching breach has exposed the identities of cooperating witnesses and victims.
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As AI becomes more embedded in everyday life and business operations, companies are facing a growing regulatory maze at the intersection of state privacy laws and emerging AI standards. This article explores the privacy laws that impact the use of AI and automated decision making and offers a practical guide for business leaders that aligns AI innovation with privacy expectations.
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One of the most revealing contradictions in today’s legal landscape is hiding in plain sight. Mobile data now plays a role in more than 75% of e-discovery matters, yet fewer than half of legal teams say they see it in even half of their cases. In an era of encrypted messaging, BYOD policies, and dispersed workforces, this isn’t just an oversight, it’s a liability.
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This is the first article in a two-part series dedicated to examining the evolving landscape of e-discovery for legal professionals. Part One addresses the complex challenges and established best practices associated with migrating e-discovery processes to the cloud, emphasizing perspectives from law firms and legal IT specialists.
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When we examine where the dragons be in cyber litigation, you’ll start to realize that there are safer, deeper ports in which to anchor. And those are just about every state in the Union and every federal agency that has cybersecurity regulations where “reasonability” is the standard of care.
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Stop running pilot after pilot with different tools but failing to move beyond testing. Start with business outcomes. Redesign processes and guardrails. Rethink pricing models. And then, with clarity of purpose, choose the tools that enable the future of legal work.
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The end of Google page one is not the end of discovery. It is the beginning of a new discovery model — one where the winners are those who align with how buyers actually search, learn, and decide in the age of AI.