What is a legal AI agent, and how is it different from a chatbot?

“Agent” is the newest and least settled term in legal AI. This sets out what it actually means in practice, separate from how loosely the word gets used.

Andrew Mellett
Andrew Mellett

July 07, 2026

Legal professionals reviewing document at a table about what is a legal AI agent

What is a legal AI agent?

A legal AI agent is a system that can carry out a multi-step task with a degree of autonomy, deciding what to do next based on the outcome of the previous step, rather than simply responding to a single prompt. This is a meaningful step beyond an AI legal assistant, which typically completes one task per request.

How is a legal AI agent different from an AI legal assistant or chatbot?

A chatbot or assistant responds to a request and stops. An agent can chain several steps together (for example: review a contract, identify a missing clause, draft the missing language, and route the document for approval) without a human directing each individual step. The underlying model may be similar; the difference is in how much of the workflow it is allowed to carry out independently.

What can a legal AI agent do autonomously?

Work through a defined, multi-step process such as intake-to-approval for a routine contract

Chase missing information needed to complete a task, rather than stalling

Escalate to a human when it hits a decision outside its defined scope

Coordinate across systems, such as moving a document from drafting to e-signature

What are the risks of agentic AI in legal work?

The main risk is scope: an agent that is allowed to act across too many steps without a checkpoint can compound a small error across an entire workflow before anyone notices. This is why credible legal AI agent tools are built with defined boundaries and mandatory escalation points, not unrestricted autonomy. This connects to the broader shift described in from system of record to system of work.

Is legal AI agent technology ready for in-house legal teams today?

For narrow, well-defined, high-volume processes such as routine NDA handling, yes. For open-ended legal judgement, not yet, and any vendor claiming full autonomy across all legal work should be treated with scepticism. Most in-house adoption today is agentic within a tightly scoped process, not across legal work generally.

How does Plexus think about legal AI agents?

Plexus Counsel is built with defined escalation points rather than open-ended autonomy, so it can carry a routine request from intake through to approval while still handing off anything outside its scope to a human. See what is an AI lawyer for the related, broader concept of an autonomous legal AI system.

Andrew Mellett

Andrew Mellett

Andrew Mellett is the Founder and CEO of Plexus, a global leader in AI-powered legal technology. Recognised by the Financial Times and Harvard Business Review for his pioneering work in legal innovation, Andrew leads Plexus’s mission to train digital lawyers, helping the world’s top companies streamline legal operations and scale expertise with artificial intelligence.

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