The findings of recent research provide specific best practices to help chart a path forward and assist decision makers in aligning the need for prompt action and adaptation with the integration of safeguards into their evolving workflows. While few, if any, have unlocked the true potential of generative AI in complex litigation, the tangible benefits and opportunities are becoming clearer.
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.
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.
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.
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.
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.
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.
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.
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.
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.
