Artificial Swarm Intelligence (ASI) represents the next evolution of artificial intelligence, in which networks of AI agents coordinate and optimize collectively to perform tasks beyond the capabilities of any single model. As these distributed systems become integrated into legal practice, they are increasingly used for compliance monitoring, contract management, litigation analytics, negotiation support, and strategic decision-making.

This CLE program examines the legal, ethical, and regulatory implications of agentic and swarm-based AI. Participants will explore how traditional concepts of liability, responsibility, causation, and professional accountability are challenged when decision-making is distributed across interconnected AI systems. The course introduces a Theory of Distributed Liability and the concept of Algorithmic Accountability as frameworks for evaluating risk, oversight, and governance in complex AI environments.

The program also discusses emerging models of legal operations, including Quantum Law Practice, and the evolving role of attorneys in designing, supervising, and auditing AI-driven workflows. Attendees will gain insight into the governance structures, regulatory considerations, and professional competencies needed to responsibly navigate the growing use of distributed artificial intelligence in the practice of law.