Legal

Agentic AI in legal

Agentic AI does not just answer questions. It takes actions. For law firms, that changes everything about the risk, the governance, and the professional duty.

By Zakir Hoosen, Director, Fuzzelogic Solutions. Board-level guidance in plain English.

There is a difference between an AI tool that summarises a contract and an AI tool that sends an email to the other side after summarising the contract. The first is useful. The second is agentic AI, and it changes the conversation entirely. When a system can take action on its own, the question is no longer "what does it tell us?" It is "what did it do, and who authorised it?"

Most law firms are still thinking about AI as a tool that produces output for a human to review. Agentic AI moves past that. It can make decisions, trigger workflows, and interact with other systems without a human clicking approve each time. That is powerful. It is also a completely different category of risk.

What agentic AI means in practice

In a law firm, agentic AI might mean a system that triages incoming emails and drafts responses, that schedules meetings based on diary availability and matter priorities, or that pulls data from multiple systems to prepare a bundle for review.

None of those things are inherently dangerous. But each of them involves a system making a decision that used to be made by a person. The system decides which email is urgent. The system decides what goes in the bundle. The system decides which meeting matters more.

When those decisions are wrong, the consequences fall on the firm, not the system. A poorly triaged email can miss a limitation date. A wrong meeting priority can cause a client to wait. An incomplete bundle can undermine a case.

The research says be careful

The risks of agentic AI are well documented, even if the technology is still new.

Forty percent of projects will be cancelled. That is not because the technology does not work. It is because the governance, the controls, and the oversight were not in place before the system was allowed to act. The projects that fail are usually the ones that moved too fast without asking who authorises actions, who checks output, and who turns the system off when it gets something wrong.

The professional duty question

This is where legal is different from most sectors. A solicitor owes a duty of care to the client. If an agentic AI system takes an action that causes loss, the client will look to the firm, not the vendor.

The question a law firm board should ask is straightforward. If the system takes an action and it is wrong, who is accountable? The answer is not the technology. The answer is a named person in the firm who authorised the system to act.

That person needs to understand what the system can do, what it cannot do, and what the failure modes look like. If the firm cannot name that person, the system should not be acting autonomously.

What governance looks like for agentic AI

The governance framework for agentic AI is the same five questions Fuzzelogic applies to any AI system, but the stakes are higher.

1. Who decided this system could take actions?
2. Who checks its actions before they affect a client?
3. Who is accountable when an action causes loss?
4. Who turns it off?
5. Who reports to the board on what it did?

The difference with agentic AI is that the second question cannot always be "a human reviews every action." If every action requires human review, the system is not agentic. It is just a tool with extra steps. The firm needs to decide which actions can be automated and which ones require a human in the loop.

For a law firm, the practical approach is to start with low-risk actions. Scheduling internal meetings is lower risk than sending client communications. Triage is lower risk than drafting. The firm should define the action categories, assign human review to the high-risk ones, and expand automation only as confidence grows.

The honest version

Agentic AI is real, and it will change how law firms work. But the firms that benefit will be the ones that treat it as a governance challenge first and a technology opportunity second. The firms that skip governance will be the ones that end up explaining to a client why a system took an action no one authorised.

Fuzzelogic has spent nineteen years helping regulated businesses introduce new capabilities without breaking the rules that matter. We do not sell agentic AI. We help law firms decide whether it is appropriate, what controls are needed, and how to introduce it without creating risk that the firm cannot afford.

Your systems were built for a world before AI. Most can get there. We tell you which ones cannot.

Start with the assessment. Two to four weeks, fixed price, and you own the verdict and the roadmap whether or not we build any of it. When you are ready to talk AI, call Fuzzelogic Solutions and ask for Zak. www.FuzzelogicSolutions.com | info@FuzzelogicSolutions.com | +44 (0)1624 618950