Features
FTC Enforcement Under Trump’s AI Action Plan
The U.S. Federal Trade Commission’s recent decision to vacate its consent decree with Rytr, a company it had accused of offering an AI-powered product for writing fake customer reviews, offers a clue to how it will approach enforcement under President Donald Trump’s AI Action Plan, attorneys say.
Features
No Copyright for AI Artwork Without Human Involvement, Copyright Office Says to Supreme Court
Artwork created entirely by artificial intelligence without any human involvement does not qualify for copyright protection, lawyers for the U.S. Copyright Office told the U.S. Supreme Court in a filing in in late January.
Features
More Class Actions Filed Against AI Companies for Copyright Infringement
A raft of Big Tech and artificial intelligence companies have been hit with class actions in California federal court for allegedly using pirated copyrighted books and YouTube videos to train their AI models without the authors’ and creators’ permission.
Features
Navigating Turbulence with Tranquility: Legal Counsel In the Age of AI, Cybersecurity, Privacy and Emerging Technology
As we enter 2026, the winners will be those who operationalize compliance as a capability by linking AI governance, privacy discipline, and cybersecurity resilience to business enablement.
Features
Seizing Opportunities and Mitigating Risk In 2026: Key Privacy & Data Security Updates from Taft
As we kick off the new year, we asked several members of Taft’s Privacy, Security, and Artificial Intelligence practice group to share their thoughts on what should be on a client’s list of resolutions for 2026.
Features
When Efficiency Meets the Duty to Verify: Reflections on The Verification-Value Paradox
The Verification-Value Paradox states that increases in efficiency from AI use “will be met by a correspondingly greater imperative to manually verify” the outputs. The result is that the net value of AI in many legal contexts may be negligible once verification is honestly accounted for. For low-stakes tasks, verification costs are light. For core legal work, verification costs are heavy. That’s the tension.
Features
Looking Back and Looking Ahead: Insights from 2025 In Legal Tech and What to Expect In 2026
An annual tradition continues at Cybersecurity Law & Strategy as we poll our panel of experts on the key developments of 2025 and what we can expect in 2026 in AI, privacy, e-discovery and other areas of legal tech.
Features
Disney-OpenAI’s Sora Deal Signals for IP, Licensing and Responsible AI
For rights holders, platforms and brands, the Disney-Open AI licensing deal illustrates an emerging blueprint for commercializing iconic IP in AI-native formats while attempting to manage legal, regulatory, and reputational risk.
Features
Trust, Focus and Impact: Marketing & PR Predictions for 2026
Success in 2026 will belong to brands that combine human judgment with AI capability, communicate with discipline and focus, and treat trust as a measurable business asset, not a marketing byproduct.
Features
Protecting AI As a Trade Secret Can Create a ‘Goldilocks’ Problem
Based on a review of recent case law, this article identifies three considerations that practitioners should pay attention to in cases involving AI trade secrets.
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