Services / Law Firm AI Agents
AI agents with a defined job. And a human handover.
Help your team handle repeat questions, find approved information and prepare enquiries for follow-up, with clear limits on what an agent can access and do.

Give the agent one useful responsibility.
Start with a repeated task that has a clear owner and a reviewable output. “Summarise the enquiry for the intake team” is a more useful brief than “automate client onboarding”. It tells us which information is needed, what should be produced and who checks it.
An agent might answer from an approved public FAQ, find a staff procedure or prepare a draft handover. It should not infer missing facts, decide whether to accept a client or quietly gain access to a wider set of documents.
Build the controls into the scope.
Approved knowledge
Identify the source material, who owns it and how updates are approved. Outdated pages and unverified generated answers should not become an agent’s reference library.
Limited access
Define the systems, records and actions the agent needs. Use separate permissions for reading information, preparing a draft and taking an external action.
Useful evaluation examples
Test normal questions, missing information, conflicting sources, requests outside scope and attempts to make the agent ignore its instructions.
Human escalation
Agree when the agent should stop, explain its limits or hand the conversation to a person. The handover should include useful context without collecting unnecessary detail.
An enquiry-summary pilot.
An illustrative pilot could take a short, consented enquiry and prepare a summary containing the requested practice area, preferred contact method and any missing information. The intake team checks the original enquiry before taking the next step.
Useful checks include whether the summary preserved the person’s meaning, introduced facts, included unnecessary sensitive details or failed to flag uncertainty. A shorter handling time is only useful if the handover remains accurate.
This is an example workflow, not a claim about a deployed client system. The pilot definition, platform and success criteria depend on your firm’s process.
Agree data handling before connecting systems.
The platform, retention settings, supplier terms and information types all matter. Your firm decides what information may be processed, with its privacy and legal advisers where needed. We document the intended flow so that decision can be made against something concrete.
If the task follows fixed rules, business automation may be enough. If the requirement is a public question-and-answer interface, our AI chatbot service offers a narrower starting point.
Your questions, answered.
Can an AI agent give legal advice to our clients?
That is outside the public enquiry and internal support scope described here. We define approved information and escalation points. Your solicitors remain responsible for legal advice and case decisions.
Can we start without connecting client files?
Yes. A pilot can use approved public information or synthetic examples. Access to live personal or confidential information requires a separate decision about necessity, permissions and safeguards.
How do you price an AI agent?
Pricing follows the task, platforms, integrations, evaluation needs and support arrangement. The proposal separates implementation work from any usage charges or third-party subscriptions.
Sources & further reading
Primary references checked on 6 September 2026.
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