AI IS ALREADY INSTALLED.
Can you measure how much
your firm has really improved
since it started using it?
Your teams are already using Copilot, ChatGPT and other tools. But if you can't measure what has changed since AI entered the firm, you don't know whether you're gaining productivity, accumulating risk, generating real value or leaving opportunities uncaptured.
The AI Rapid Review is a focused, executive-level measurement that shows where your firm stands today, what signals of progress exist, and whether current AI use is generating real value or just a sense of progress.
A fixed offer
The £1,500 Rapid Review
Start by measuring before investing more. Before expanding licences, running more training or launching another AI project, you need to know whether current adoption is generating real value.
For firms already using AI who want to know whether progress is real or only apparent.
We review a single workflow — such as document review, contract review or another priority process — to identify signals of adoption, value captured, unmanaged risk and opportunities for improvement.
The result is a short, practical report that can serve as a standalone internal decision tool or as the basis for a deeper diagnostic if the firm decides to move forward.
Includes: prior review of materials · one executive session · short report · delivered within 10 working days
What the data shows
The tools are in.
The organisation hasn't kept up.
of UK legal professionals now use AI tools in some capacity — yet only 27% have embedded it widely across their firm.
Sources: Clio, UK & Ireland Legal Insights Report, 2026
firms have no formal AI policy, despite actively using the tools.
Sources: Clio, UK & Ireland Legal Insights Report, 2026
of managers describe their AI productivity gains as a step change — even though 70% report productivity gains overall.
Sources: CMI, June 2026
What we do
We don't just recommend change.
We help make it happen.
Align
We create clarity on ambition, priorities and the next practical step.
Prioritise
We agree owners, key decisions and expected outcomes.
Diagnose
We assess barriers, maturity, workflows and organisational capacity.
Design
We translate findings into a realistic, actionable roadmap.
Activate
We put the changes into motion alongside leaders and teams.
Measure
We track adoption, accountability and the value generated.
The pattern
The symptoms are visible.
The causes
usually aren't.
What the firm sees
AI tools in use, but limited change to how work actually gets done.
Different teams using AI in different ways.
Training completed, but adoption has stalled.
Claims of time saved, but nothing to point to commercially.
What tends to sit underneath
Unclear priorities, weak sponsorship, ownership that stops at the technology team.
No agreed guardrails, inconsistent manager capability, no workflow integration.
Generic learning, disconnected from real work and not reinforced by line managers.
No baseline, no measurement framework, no decision on how freed capacity gets used.
The technology may be working.
Adoption may be what's holding value back.
Let's talk about your situation and find out what's blocking AI value in your firm.