The AI-Native AdvantageThe Numbers Behind the Narrative

Phase, task and activity coding has been mandatory since April 2018. Eight years on, files still land uncoded. That is not a software gap. It is a workflow gap — and it is why AI cannot build your bill. It will build the structure. It cannot invent the note you never made. Where it earns its keep is upstream: capture at the point of work, not archaeology ten years later.

The Human Skills Upgrade: Why AI Without Expertise is Just Expensive AutocompletePrompt Engineering is a Genuine SkillThe Dictation Culture Problem

Funders, PACCAR and the Regulatory Reset

ISO 42001 and the AI Governance ImperativeThe UK Governance LandscapeISO 42001 and the EU AI Act

T3PS Legal Dynamics · Series 2: AI Readiness — It’s Not a Technology Question · Written by Will Whawell. Human intelligence throughout; AI assisted with the drafting. Fact-verified June 2026 A managing partner told me, not long ago and with some pride, that his firm had “gone all in on AI.” I asked which tools, and on what data. There was a pause. It turned out the fee earners were pasting client documents — witness statements, heads of terms, a settlement position or two — i

The High Court rejected the vast majority of the allegations that the vehicles contained prohibited defeat devices. Where the court found a calibration strategy served a legitimate engineering purpose — protecting components, managing temperature — it was not a defeat device, and claims built on it fail at the first hurdle

Once a month I take myself off to a barn between Shrewsbury and Whitchurch. Part husband break, part catching up, mostly rest. The case for stepping away isn't that you come back faster. It is that you don't arrive at Thursday having quietly become worse at your job. So could a law firm run a four-day week without stalling its matters? Of course it could. Nothing in litigation moves faster than a ward round. What stops it isn't the work — and a hospital ward showed me exactly

The Data Maturity Gap: Why Your AI Is Only as Good as Your Filing SystemThe Two Layers of Legal AI Why General AI Fails Specialised Legal WorkThe Content Library Problem

Open any business book or conference keynote and the odds are high you'll meet Sun Tzu within the first few pages. He is quoted more than he is read, and read more than he is understood — conveniently vague, flattering to the quoter, and written for a world that is not yours. This opens Better Sources: a short series on the strategists who actually earn their keep, starting with Clausewitz, who owns the single most useful idea in all of strategic writing. Cargo-cult strategy

Litigation funders price risk against a cost base — and AI is compressing that cost base in real time. What happens to funding models, ATE premiums and costs budgets when the hours a case was budgeted to take are no longer the hours it takes? Closing Series 1, this piece follows the AI dividend into the funded-litigation market, where the question of who captures the saving is at its sharpest.

Pan-NOx was not decided by claimant numbers. It was decided by case theory, evidence, and the capacity to sustain both over years. The defendants concentrated the fight on the statutory definition and let the construction argument carry the volume of allegations away; Mercedes converted a systemic vulnerability into a discrete, time-bound point by fixing it a decade before trial. For anyone who funds, prices or manages group litigation: strategy and resources still beat scale

A welcome, a premise, and a promise about what happens here every Friday William Whawell | The Fika Friday Fika — the Swedish approach to coffee. Not rushed or forced; rather, it's enjoyed. A time for reflection, a time for open, honest conversation. For those that don't know me, I am Will. Not William (only my Mother ) or Bill — just Will. For those that do know me, you know that I can be irreverent, not always subtle, and often blunt. But always authentic me. That's what Th

The general counsel slid a single sheet across the table. "That's your last four matters — hours billed against what our model says the work should take now the disclosure tool does what it does. The gap's about thirty per cent." For years pricing reform was debated almost entirely among lawyers while the billable hour carried on undisturbed. That period is ending — not because the arguments improved, but because clients stopped asking and started mandating.

Mercedes-Benz closed 2025 on €32.2 billion of net industrial liquidity and borrows at investment-grade rates. The claimant ecosystem that just lost to it pays 10% to 30%-plus for capital — sometimes far more. That asymmetry doesn't decide legal questions; it decides how long each side can afford to fight. From Pan-NOx to the FCA's £7.5 billion motor finance redress scheme, via the collapse of a £250 million funder, this is the arithmetic behind the war of attrition.

"We looked at fixed fees," the practice head told me, in the tone people use for a holiday they nearly booked. The working group's paper is still on the shared drive; the firm still writes off the overruns it daren't pass on. The arguments for alternative fees were never the problem — the pressure was. AI has made the gap between time spent and value delivered impossible to keep out of sight. The alternatives work. The open question is whether a firm has the discipline to run

On 10 July 2026 the High Court handed down judgment following the liability issues trial in the Pan-NOx Emissions Group Litigation — the largest group action in English legal history. Around 1.6 million claimants, proceeding under Group Litigation Orders, alleged that diesel vehicles made by the lead defendant manufacturers — Mercedes-Benz among them, alongside Ford, Renault-Nissan and Peugeot-Citroën — contained prohibited defeat devices: software that kept NOx emissions low

T3PS Legal Dynamics · Series 1: The Billable Hour Under Siege · Refreshed June 2026 There is a moment in every transformational technology adoption when the organisation deploying the tool suddenly realises that the tool works against the way it gets paid. The legal profession has reached that moment. Quietly, uncomfortably, and with considerable reluctance, law firms across the UK and beyond are grappling with what I have come to call the AI efficiency paradox: the better yo