Artificial intelligence (AI) is significantly transforming various industries, requiring in-house legal teams to adapt quickly. Two main categories of AI are vital for legal considerations: AI Agents, which follow predefined instructions for low-risk tasks, and Agentic AI, which autonomously navigates complex scenarios. This distinction is essential, as it impacts risk assessment and liability concerns. AI Agents’ errors typically trace back to their developers, while Agentic AI poses challenges due to its learning capacity. Legal teams must frame compliance strategies around these differences to effectively manage the legal landscape surrounding AI.
The distinction between AI Agents and Agentic AI is critical for in-house legal teams to craft strategies for governance, compliance, and liability.
AI Agents perform predictable, low-risk tasks under human control, while Agentic AI operates autonomously, which complicates responsibility and regulatory compliance.
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