Edward D. Lanquist and Benjamin West Janke of Baker Donelson examine 2025 copyright decisions addressing AI training and fair use, highlighting judicial concerns over piracy and market harm.
If you practice insurance coverage law, you’ve been there: staring at an undefined term in a policy, toggling between three ...
First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...
Big Law attorneys are squaring up against a new, costly courtroom opponent: everyday people filing lawsuits and legal briefs with the help of generative artificial intelligence.
Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...
Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict how environmental regulations will affect wetlands and streams before they ...
A bipartisan bill, the Transparency and Responsibility for Artificial Intelligence Networks Act (TRAIN), introduced in January 2026, would give content creators subpoena power to compel disclosure ...
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