Designed, built, and run for firms where the work has to stand up. Contract review, due diligence, CDD, matter intake. You only pay when the agent delivers. Failed outputs aren't billed.
The firms making this work aren't being reckless. They're running AI inside privilege, under PII cover, with an audit trail their COLP would defend.
Whether you've leaned into it or not, the buyer at the other end of your engagements is using it. The Magic Circle has rolled firmwide platforms out to thousands of fee earners and is publicly cutting paralegal headcount as agentic workflows scale. [2] Corporate clients are putting AI use into panel reviews and RFPs. Mid-market firms watching from outside are getting expensive.
Meanwhile, 4 in 5 UK lawyers describe their firm's AI culture as slow, fear-based, or non-existent. [1] The gap between firms using AI seriously and firms hoping it goes away is widening fast. The route to do this properly exists. The choice is who you build it with.
Most of the work that keeps fee earners off-billable is document-heavy, repetitive, and bound by clear rules. That's exactly where well-built agents earn their keep. These aren't products to choose from. They're illustrations of what an agent could do for a law firm.
This could look like an agent that takes an incoming contract through to a partner-ready first-pass review.
A structured review pack with redline suggestions, ready for the partner to focus on conclusions rather than the document.
We might build this as an agent that works a data room or disclosure bundle end-to-end into a structured deal matrix.
A structured deal matrix with the audit trail to back every flag, and the judgement calls preserved for the lawyer.
An agent at this stage could run a new client from open through to a signed-off CDD file.
A completed CDD file ready for compliance sign-off, with low-to-medium risk cleared in minutes.
Or an agent that handles new-matter opening from enquiry through to a partner-ready engagement letter.
A ready-to-send engagement letter with the conflict check signed off and the matter live in your system.
The exact steps, outputs, and supervision points are designed around your firm's specific process during a Discovery session. Other directions worth scoping: regulatory change monitoring, legal research summarisation under supervised parameters, billing narrative drafting, and compliance reporting.
Most AI consultancies hand over a tool and walk away. We don't. The build is the start of the work that keeps an agent reliable inside a legal practice.
A free 30-minute Agent Discovery session. We map the process, identify the right agent type, and scope the build. You leave with an honest answer on whether an agent fits the use case.
A senior engineering team builds the agent inside an isolated Azure tenancy. No juniors. Prompt structure, evaluation criteria, and output format are engineered before go-live, because at document volume a one-percent shift in accuracy is real money. We evaluate against your standards, and you sign off the spec before it runs.
The agent goes live, and we keep it that way. We monitor performance, retrain as your process changes, and maintain output quality. Any drift is on us, not your COLP. You stay out of the AI operations business.
We engineered the contract to match the work. No big upfront build fee with vague success criteria. No seats. No platform licence. The deal is simple, and it's the proof that we have skin in the game.
A single refundable commitment fee at the start, against the design and build. It prepays the work, it doesn't deposit on it. If the agent doesn't deliver to the agreed spec, the fee comes back.
Once the agent is live, you're billed per workflow it completes. The unit price reflects the complexity of the work, agreed in writing before go-live. If an output doesn't meet the standard you signed off, you don't pay for it. That includes the version where the agent had a bad day.
The term is 36 months, billed monthly. The long view reflects how this work actually runs. Caps are available. The contract is the proof.
Specific figures live on the pricing page. Unit pricing for legal workflows is scoped per agent at Discovery.
Legal AI sits inside a fast-moving compliance landscape. The standards already apply. What changes is whether your agents are built with those standards in mind, or retrofitted under pressure. Ours are built to be ready, on infrastructure your COLP can defend.
Confidentiality and privilege. Agents run inside an isolated Azure tenancy. Client content does not train external models. No consumer AI tools touch privileged material. The Upper Tribunal confirmed in 2026 that uploading documents to public AI tools waives legal professional privilege. [3] We assume that ruling is permanent and build accordingly.
Audit trail and accountability. Every input and output is logged. Every agent decision is reconstructable. If a client, an auditor, or your PII broker asks how an output was produced, you can show them.
Human oversight at judgement points. Agents handle the structured work. Decisions that carry legal weight stay with a fee earner. Sign-off points are designed into the workflow, not bolted on afterwards.
The SRA treats AI as a tool the firm is accountable for, not as an outsourced legal service. We design agents so responsibility stays clearly with you, with the audit trail to evidence it.
Agents run inside an isolated Azure tenancy that you control. Content does not leave that environment and does not train external models. Cases like the 2026 Upper Tribunal ruling on public AI tools and privilege are why we build AI infrastructure this way. [3]
They will, and they should. Insurers want to see human supervision, documented oversight, and audit trails. Our agents are designed with those evidence points built in. We're happy to provide what your broker asks for at renewal.
No. We design agents that handle the document-heavy work behind the work: extraction, classification, structured output, drafting. Legal judgement stays with your fee earners. That line is engineered into every workflow.
One study found that purpose-built legal AI tools hallucinate between 17 and 33 percent of the time on legal research queries. [4] That is exactly why we don't ship agents on the strength of demos. Every agent is evaluated against your standards before go-live and monitored against them after. Where hallucination risk is structural to a use case, we'll tell you in the first thirty minutes.
The Discovery session is thirty minutes. From there, a typical build sits in a four-to-eight-week window, depending on integrations and complexity. Live in production means run by us, not handed to your team.
No. Implementation, integration with your case management system or DMS, ongoing operations, monitoring, and any retraining sit with us. Your team needs to be available for sign-off on specs and outputs.
The commitment fee is refundable if we don't deliver to the agreed spec. Failed outputs aren't billed. That's not marketing copy. It's in the contract.
We're not selling AI. We're selling outputs your firm can rely on. If a use case isn't right for an agent, we'll tell you in the first thirty minutes. If it is, you leave Discovery with a scope you can act on.