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Tracking Technology Trends and Risk Mitigation Techniques
U.S. companies face a massive wave of wiretapping law class action lawsuits and regulatory enforcement actions over online “tracking technologies.” With this backdrop, the article below identifies some trends and new directions concerning tracking technology legal exposure and highlights some potential solutions for mitigating legal impact.
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Pioneering AI In Law Firm Cybersecurity: Balancing Innovation With Risk of Using GANs and Other Novel Solutions
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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Making the Leap: Practical Guidance for Migrating to RelativityOne
The transition from on-premise e-discovery systems to a cloud-native platform like RelativityOne is now at the heart of legal technology strategy for organizations racing to modernize discovery, compliance, and client service. While the promise of greater scalability, automated upgrades, and advanced analytics is motivating, a RelativityOne migration is a journey, rich in both complexity and opportunity.
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Cyberattacks on U.S. Courts System Affect White-Collar Criminal Clients
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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Top 7 Ways Law Firms Can Fortify Their Security and Protect Client Trust
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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AI and Privacy: Mitigating Legal Risk and Liability
The continued, rapid advancement of artificial intelligence technologies comes with increasing risks for businesses, demanding that they navigate such issues more carefully than ever. Considering recent privacy class action trends detailed in this article, companies that utilize AI in their business operations should immediately review and modify their compliance programs as necessary to mitigate legal risk and liability exposure.
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Keeping Up With Shifting SEC Priorities
The best advice for SEC trend watchers might be summarized using the golf interjection, “fore!” The developments are happening so rapidly, one of the best things to do is to be aware that these shifts are incoming and stay alert to the changes.
Features

Anatomy of a Prompt: Real Training for Using AI
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.
Features

A Business Guide to the U.S. AI-Privacy Crossroads
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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