# What Is Agentic AI in Law, in Plain Terms? > Every legal AI vendor now says agentic. Here is what the word means in practice, how it differs from a chatbot, and what buyers should test before trusting it. By The Circle Desk | AI in Practice | Published 2026-10-26 Source: https://legaltechcircle.com/insights/agentic-ai-in-law-explained/ Agentic AI in law means software that takes a goal from a lawyer, breaks it into steps, uses tools and sources to carry out those steps, and checks in with a human at set points. A chatbot answers the question you ask. An agent works through a task, such as researching an issue, drafting a memo from the results and filing it in the matter folder. "What is agentic AI in law" appears in Google's autocomplete, and with good reason: the word is now in nearly every legal AI launch. ## How Is Agentic AI Different From Generative AI? Thomson Reuters' guide [Agentic AI 101](https://legalsolutions.thomsonreuters.co.uk/content/dam/ewp-m/documents/legal-uk/en/pdf/reports/agentic-ai-101-what-uk-legal-professionals-need-to-know-tr8394140.pdf) puts it simply: generative AI "creates things," while agentic AI "makes decisions and takes actions." Its example is useful. Generative AI might draft a client memo from a template and recent case law. An agentic system could then file the memo in the document management system, schedule a follow-up meeting and update the matter record. The same guide is clear that "both GenAI and agentic AI require human oversight," and suggests planning review points the way a junior lawyer's draft goes to a senior colleague. Vendors' own materials say the same thing in different words, which is worth remembering when a demo makes the agent look fully independent. ## Who Is Selling Agentic Legal AI? Most of the large vendors now use the term. Thomson Reuters announced general availability of the [next generation of CoCounsel Legal](https://community.thomsonreuters.com/legal/b/announcements/posts/the-next-generation-of-cocounsel-legal-is-here), which it calls "a fully agentic AI experience" running from research and issue analysis to finished work product. Legora calls itself "the agentic operating system for legal professionals" in its [October 21 Series E announcement](https://legora.com/newsroom/legora-raises-550-million-series-e-at-8.8-billion-valuation-to-accelerate-growth), and says legal teams "are moving beyond AI assistants toward agents that carry out multi-step work." Google's [Gemini for legal](https://cloud.google.com/ai/legal), in preview, offers pre-built agents for research, regulatory screening and contract drafting. Anthropic's [Claude for Legal](https://github.com/anthropics/claude-for-legal) repository includes named workflow agents, such as a vendor agreement reviewer, and scheduled agents that watch dockets and regulatory feeds. Investors are paying for the story. The [Legal Tech Circle funding tracker](https://legaltechcircle.com/market-signals/funding-tracker/) shows Legora's valuation rising from $5.6 billion after its April 2026 Series D extension to $8.8 billion in its October Series E, both counted as equity rounds. ## What Makes an Agent Work Well, or Badly? Three things decide it. The first is access. Agents act through connectors, often built on the Model Context Protocol, to document systems, e-discovery platforms and research databases. Good connectors inherit existing permissions, so an agent cannot see what the lawyer cannot. Google and Anthropic both describe their legal connectors that way. The second is checkpoints. An agent that drafts and then waits for approval is very different from one that sends email or files documents on its own. Anthropic's legal plugins, for example, are described as having "explicit gates before anything is filed, sent, or relied on." The third is verification. Multi-step work compounds errors: a wrong case in step one becomes a wrong argument in step four. Courts have already sanctioned lawyers for AI-generated citations, as our [hallucination sanctions tracker](https://legaltechcircle.com/insights/ai-hallucination-sanctions-tracker/) shows, and agents do not change who is responsible. ## Questions to Ask Before You Buy Ask the vendor what actions the agent can take without approval, and whether you can turn those off. Ask how it logs each step, so a supervising lawyer can review what it did. Ask what permissions its connectors use and whether they respect ethical walls. Ask for results on your own documents during a pilot; our guide on [how to run a legal tech pilot](https://legaltechcircle.com/insights/how-to-run-legal-tech-pilot/) lays out a method. **Partly Real.** Agents that chain research, drafting and filing are shipping. The label also gets attached to tools that are still assistants with a new name, and every vendor still requires a lawyer to check the work. ## Common Questions **What is agentic AI in law?** AI that takes a goal, plans the steps, uses connected tools to carry them out and pauses for human review, rather than just answering a single prompt. **Is agentic AI the same as generative AI?** No. Generative AI produces content. Agentic AI uses generative models but also takes actions across systems. **Which legal AI products are agentic?** Thomson Reuters, Legora, Google and Anthropic all market agentic legal tools, including CoCounsel Legal, the Legora platform, Gemini for legal agents and Claude legal agents. **Do agents remove the need for lawyer review?** No. Vendors themselves say agentic tools require human oversight, and lawyers remain responsible for the work. --- Legal Tech Circle (https://legaltechcircle.com/). News and analysis, not legal advice.