7 articles published
Most bespoke AI proposals die in committee because they are priced against nothing. This five-step framework prices the status quo, the build, and the new revenue line the build unlocks.
A step-by-step ROI framework for bespoke legal AI: baseline the work, model honest TCO against SaaS licences, price the new revenue, and set kill criteria.
Your firm's most valuable asset commutes home every evening in your lawyers' heads. A knowledge management strategy turns that trapped expertise into a firm-owned asset that compounds - and feeds AI that actually knows your firm.
A law firm knowledge management strategy turns trapped partner expertise into a scalable, firm-owned asset. The three-layer framework to build it in 2026.
Most firms are drowning in legal operations data and starved for insight. These are the five KPIs that actually measure firm health - and the build-versus-buy decision behind measuring them well.
The five legal operations KPIs that matter at partner level: realisation, predictability, adoption, cycle time and technical debt - and how to instrument them.
Most firms have legal operations. Very few have a legal operations strategy - a plan that ends in owned assets rather than a consultancy deck. Here is the five-step framework that closes that gap.
Legal operations strategy turns activity into measurable value. A five-step framework for law firm leaders: assess, prioritise, build vs buy, roadmap, measure.
A one-man City practice is delivering premium regulatory work on a custom AI stack. What Rob Bratby's firm proves about leverage - and why the 'AI-native' label isn't the point.
What a one-man City regulatory practice proves about AI leverage in law firms, why the 'AI-native' label misses the point, and the question BigLaw must answer.
Most law firm AI initiatives stall not because of bad technology, but because of a fundamental data gap. Drawing on Geoffrey Moore's 'Crossing the Chasm,' we explain why firms must build a data beachhead before attempting firm-wide AI adoption.
Most law firm AI initiatives stall not because of bad technology, but because of a fundamental data gap. Drawing on Geoffrey Moore's 'Crossing the Chasm,' this article explains why firms must build a data beachhead before attempting firm-wide AI adoption.
For decades, buying software was the default for law firms. In 2026, the economics and technology have inverted. We break down why building bespoke software is now the smarter strategic move.
The 'build vs. buy' debate for law firm technology has fundamentally changed. Learn why falling development costs and the need for differentiation make building custom AI solutions the superior long-term strategy.
