Extract from Chris Brown’s article “Agentic AI is in the aiR”
Perceive. Think. Act. It sounds a little like a play on our mission here at Relativity: to help our customers organize data, discover the truth, and act on it.
Of all the AI buzzwords we’ve come across over the last few years, “agent” or “agentic” is quickly becoming the loudest. You’ve probably heard of agentic AI: systems that can perceive, think, and act on their own, built to perform tasks autonomously based on users’ instructions. But definitions abound and realistic applications of this new AI “workforce” can be tough to grasp—especially in a field as deliberative and consequential as the practice of law.
Today, at Relativity Fest London, we’re proud to connect with and celebrate our global community while sharing some of the most exciting developments across our platform. In our keynote, I touched on one of the most talked-about topics in tech today: agentic AI. What is it, can legal teams trust it, and how are we approaching it at Relativity?
Because this space is evolving rapidly—and the implications for legal work are significant—we’re digging deeper here on The Relativity Blog to help you cut through the noise, understand what agentic AI really is, and learn how our teams are building innovative, reliable, and high-performing solutions with this technology at the core.
Agentic AI: What It Is and Why You Should Care
Agentic AI encompasses systems that perceive, think, and act on their own to meet user-set goals. Such a system has access—via APIs or other connectors—to the other platforms it needs to work within, whether it’s enterprise software, online resources, or other services. When a user assigns an agentic system a task, it can autonomously follow those instructions in a multi-step way to deliver the requested result.
