Fixed-fee · On-site · 3–4 weeks

See exactly where AI creates value — in your firm.

We spend a few days on-site and come back with a clear picture of your matter lifecycle and a prioritised, costed map of the AI opportunities with the most upside — every one modelled from your matter data, not a vendor brochure.

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Two deliverables. Standalone value in both.

You leave with a documented lifecycle blueprint and a prioritised AI roadmap — and you own both whether or not you build a single AI feature.

1. Matter Lifecycle Blueprint

A documented as-is model of how your firm actually works — stages, handoffs, human decision gates, systems, data ownership, and accountability per stage across your practice areas.

Valuable in its own right: most firms have never documented this. You walk away with a lifecycle and data model whether or not you pursue a single AI initiative.

2. AI Opportunity Report

AI candidates mapped per lifecycle stage and cross-cutting — each scored on feasibility, data-readiness, and effort, with ROI modelled as conservative / expected / upside ranges from your own matter data.

Ends with a costed view of implementing your top three opportunities — the bridge to delivery.

How it works

Scoping

1 week

Confirm practice areas in scope, access requirements, and data sources.

On-site discovery

2–4 days

Interviews, observation, and matter/time/system data collection.

Analysis & modelling

1–2 weeks

Build the blueprint, score AI candidates, and model ROI from your data.

Readout

Half-day

Workshop the findings and roadmap with your leadership team.

Typical elapsed time: 3–4 weeks from kickoff to readout. Fixed-fee — you know the cost before you start.

"Modelled from your data, not our brochure."

The differentiator is that every ROI figure is built from your own matter data, gathered on-site — not vendor benchmarks or cross-industry averages. ROI is always presented as a range with stated assumptions your leadership team can stress-test.

The on-site visit is what earns the right to quote a defensible figure. That is why this is a fixed-fee engagement, not a desktop exercise.

Common questions

What if AI turns out to be hype?

The blueprint has standalone value. You own a documented lifecycle and data model whether or not you ever build an AI feature — that removes the wasted-spend risk entirely.

Our matters are too bespoke to map.

Bespoke work is exactly why a tool-first approach fails. Mapping the variants is the point — the blueprint captures how your firm actually works, not a vendor's generic model.

Can you really put a number on AI ROI?

Yes — modelled from your own matter volume, time-recording, and fee-earner cost data, presented as a range with explicit assumptions you can challenge.

We already have an innovation team.

This gives them an evidence base and a prioritised roadmap, not another tool to evaluate. It's the input they need to make a defensible case to leadership.