The term "agentic AI" was everywhere at LegalWeek 2026. Vendor booths, session titles, and marketing materials all promised agentic capabilities. But a foundational session on AI agents cut through the noise with a clear distinction: generative AI produces single outputs from prompts, while agentic AI executes multi-step workflows autonomously, using context and memory across tasks. By that definition, most tools currently marketed as "agentic" are still fundamentally generative.
The session categorized agentic systems into workflow agents (structured, repeatable tasks), autonomous agents (greater independence), hybrid models, and orchestration layers that coordinate multiple agents. The reality check was sobering: true autonomous workflows remain limited, risk tolerance slows adoption, and most organizations are early in their journey. The potential legal use cases are compelling—contract review routing, automated legal research monitoring, litigation workflow management, and eDiscovery triage—but the gap between demos and defensible deployment remains significant.
A complementary session on making GenAI and agentic AI work in practice reinforced that these technologies require a fundamental shift in legal workflow design, not just technology adoption. Attorney oversight and governance are essential at every stage. The panel stressed that structured evaluation strengthens defensibility and accountability—a critical consideration when the consequences of error include professional sanctions and malpractice exposure.
The workflow conversation was especially instructive. One session explored how legal AI is evolving beyond individual productivity tools toward integrated workflow solutions—moving from point solutions that assist with discrete tasks to orchestrated systems that manage multi-step legal processes end to end. This progression represents the next stage of the legal technology journey, and it's where the agentic conversation becomes genuinely meaningful rather than marketing-driven.
Key governance and accountability topics across these sessions covered hallucination risk, bias, cybersecurity, and overreliance. The takeaways were consistent: agentic AI shifts legal tech from prompts to workflows, but lawyers must understand how autonomous systems operate, and human oversight remains essential. This is not a technology that can be deployed and forgotten.
What determines whether an agentic system delivers real value is whether it maintains context and memory across tasks. A system that executes Step 1, forgets everything, and starts Step 2 from scratch isn't truly agentic—it's just a sequence of isolated generative calls. Genuine agentic capability requires context infrastructure: the ability to capture, preserve, enrich, and carry forward case knowledge across every stage of a matter. Without that connective tissue, even the most sophisticated AI is just performing disconnected tasks.
The firms that will benefit most from agentic AI are the ones asking the right questions now: Does this system actually maintain context? Can I trace its reasoning? Does it operate within a defensible governance framework? If the answers are unclear, the technology probably isn't as agentic as the marketing suggests.
This article draws on session summaries from LegalWeek 2026, held March 9–12, 2026 in New York City. The views expressed are those of Advocacy.