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AI agents have arrived. Although the technology is not new, agents are rapidly becoming more sophisticated—capable of operating with greater autonomy, executing multi-step tasks, and interacting with other agents in ways that were largely theoretical just a few years ago. Organizations are already deploying agentic AI across software development, workflow automation, customer service, and e-commerce, with more ambitious applications on the horizon. As these systems grow in capability and prevalence, a pressing question has emerged: can existing legal frameworks—generally designed with human decision-makers in mind—be applied coherently to machines that operate with significant independence?