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.
(1) The sources or owners of the datasets. (2) A description of how the datasets further the intended purpose of the artificial intelligence system or service. (3) The number of data points included ...
If you practice insurance coverage law, you’ve been there: staring at an undefined term in a policy, toggling between three dictionaries that each say something slightly different, and wondering ...
A new report found widespread agreement that AI is driving substantial efficiency gains in legal work, with uncertain implications for the relationship between law firms and their clients.
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 ...
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 ...
Large-language models are not attorneys. They cannot create attorney‑client privilege, and pre‑litigation use requires care.
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