As companies begin to move beyond large language model (LLM)-powered assistants into fully autonomous agents—AI systems that can plan, take actions, and adapt without human-in-the-loop—legal and privacy teams must be aware of the use cases and the risks that come with them.

What is Agentic AI?
Agentic AI refers to AI systems—often built using LLMs but not limited to them—that can take independent, goal-directed actions across digital environments. These systems can plan tasks, make decisions, adapt based on results, and interact with software tools or systems with little or no human intervention.

Agentic AI often blends LLMs with other components like memory, retrieval, application programming interfaces (APIs), and reasoning modules to operate semi-autonomously. It goes beyond chat interfaces and can initiate real actions—inside business applications, internal databases, or even external platforms.

For example:

• An agent that processes inbound email, classifies the request, files a ticket, and schedules a response—all autonomously.
• A healthcare agent that transcribes provider dictations, updates the electronic health record , and drafts follow-up communications.
• A research agent that searches internal knowledge bases, summarizes results, and proposes next steps in a regulatory analysis.

These systems aren’t just helping users write emails or summarize docs. In some cases, they’re initiating workflows, modifying records, making decisions, and interacting directly with enterprise systems, third-party APIs, and internal data environments. Here are a handful of issues that legal and privacy teams should be tracking now.Continue Reading What is Agentic AI? A Primer for Legal and Privacy Teams