Moat.
Speed.
Allocation.
The platform moat that survives 2028 is being chosen this year.
This briefing tells you which platform moats survive 2028 in professional services as AI rewrites build economics. Read it before your R&D allocation locks for the decade.
The 10-page briefing. Worth 20 minutes.
One email. One PDF. Worth twenty minutes of your week.
We send it once. Work emails only.
Thursday 9:15, partnership council Friday. DMS uptime at ninety-nine-point-eight. Document-assembly turnaround down thirty percent quarter on quarter. Copilot adoption across the partnership tracking ahead of plan. Your Head of Innovation opens with the dashboard. The Managing Partner forwards an email from the general counsel at the firm's second-biggest client: "We've started a Harvey pilot on transactional-contract review. We're targeting forty percent of last year's blended rate." Your best second-year associate resigns that morning to join Legora.
You are not running one technology function. You are running two, and only one is on your scorecard. One funds what the firm already ships: the DMS, the research-platform renewals, the document-assembly pipeline. The other funds what has to exist by 2028: the knowledge graph built from the firm's precedent library, the data rights renegotiated into the next twenty-four months of engagement letters, the methodology turned into portable institutional infrastructure.
The moat that matters in 2028 is not above the tool layer. It is underneath it.
This is the question your Managing Partner is already asking. The briefing below is what you want in your hand before the next partnership council.
Build Velocity. Product Defensibility. R&D Capital Allocation.
Three questions every professional services technology leader is tracking. The third is the crux. The first two are how you earn the right to answer it.
Is our AI adoption shipping production-grade work, or losing audit trail under the dashboard?
Document-assembly turnaround down thirty percent. Copilot adoption ahead of plan. Every partner using a different stack on different matters and the DMS emptying. Harvey is purpose-built for matter context. You cannot replicate that in eighteen months. Buy what the tool layer can carry. Own the discipline that makes it ship through the DMS.
What does our methodology do that a Harvey at ten percent of our leverage cannot copy?
Your workflow edge commoditises every eighteen months as the next copilot rolls. Your structured knowledge, your engagement-letter data rights, and your client-system integrations compound. Your methodology sits in three senior partners' heads, and two of them retire before 2030.
Is our technology budget one instrument or two?
One funds the existing DMS, document assembly, and research platform at lower unit cost. The other builds the 2028 moat. On one hurdle rate the first wins every partnership council. On one scorecard the second does not exist. The CTO who walks in with one budget runs the same programme every peer firm is running.
What you get when you download
An 11-page report for CTOs, CPOs, and Heads of Innovation at mid-market European professional services firms. Designed to be read in one sitting before your next partnership council.
Your industry, your technology function, and why they are one problem
What is happening to mid-market professional services: AI-native entrants (Harvey, Legora, Unity Advisory, DiligenceSquared) at ten percent of your leverage economics, clients running their own AI to cut external spend, and named fee-quote pressure already arriving. What is happening inside your technology function: Copilot adoption up, audit trail degrading, partners routing around the DMS. And the intersection: same force, two altitudes, one problem.
Four moves across build engine, platform and data, product thesis, and R&D bench
Instrument review-bar compliance on AI-drafted deliverables and mandate matter-note structure on every AI-assisted output. Build the methodology-as-moat underneath the tool layer through a knowledge graph, renegotiated engagement-letter data rights, and proprietary evals. Stand one outcomes-priced line on protected P&L. Rebuild the junior pathway around senior-and-agent pairing from day one.
Five questions for your next partnership council
Is your technology budget one instrument or two, and what is the kill criterion on each? Name the AI-native in your category. How many months to reconstruct methodology if your two most senior partners retired tomorrow? Where did captured knowledge go as adoption went ahead of plan? Is your boundary agreement with the Managing Partner written?
Calibrated for each seat at the table.