Latest posts
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AI governance is not about technology. It is about leadership.
Over the last few years, AI has moved from a future consideration to a boardroom discussion. Partners are asking how it can improve productivity. Clients are beginning to expect it. Vendors are adding it to almost every product roadmap. Employees are already experimenting with it, whether formally approved or not. For many organisations, the question
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When your systems no longer scale with your business
There is a stage many organisations reach – technology stops being invisible. It starts to get in the way. Processes that once worked begin to slow down delivery. Reporting takes longer than it should. Systems no longer align. Teams create workarounds to compensate. New requirements trigger disproportionate effort. In legal practices this often shows up
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When you realise your firm is behind on technology
There is a moment that many Managing Partners and COOs are now experiencing. It often starts with an AI conversation. A client asks about it. A competitor announces something. A vendor demonstrates a tool that looks compelling. Internally, someone asks, “Should we be doing this?” And the honest answer, just beneath the surface, is uncomfortable.
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Why architecture matters to legal services companies who want to use AI
Many firms start the AI conversation in the wrong place. They start with tools. Drafting tools, summarisation tools, research tools, copilots and assistants. Vendors demonstrate impressive capabilities and the conversation quickly becomes about which tool to buy. But the real question is not which AI tool to use. The real question is whether the firm’s
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When your law firm’s technology holds back growth
Growth in a modern legal practice is no longer constrained by legal capability alone. It is constrained by infrastructure. Partners may be driving new service lines, exploring AI assisted delivery, or responding to client demands for transparency and speed. Yet behind the scenes, many firms are operating on technology estates that have evolved rather than
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The CPTO as AI translator: turning model capability into business decision-making
By the end of 2025, most mid sized organisations are already using AI in some form. Customer support teams are trialling copilots, finance teams are extracting data from documents, and product teams are embedding classification or recommendation into workflows. What has changed is not the presence of AI, but the number of business decisions it
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The Ethics of AI at Board Level: Why Risk Is Not Just a Compliance Issue
AI now appears in almost every board pack I see. It is woven into growth plans, cost reduction exercises, investment cases and talent strategies. Yet, in many organisations, the ethical dimension receives far less attention than the commercial one. Too many boards still treat AI risk as if it were simply a matter of compliance,
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Fractional CPTOs and AI strategy: Guiding innovation without overreach
AI is now a permanent topic in the boardroom, but not every board has the right expertise to turn that conversation into a coherent plan. Your company may already be experimenting with AI models or exploring automation, but without a clear strategy and governance framework these activities can quickly pull you away from your intended
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Strategic Blind Spot: When boards underestimate the governance challenges of AI integration
Artificial intelligence now occupies a permanent place on the board agenda. It appears in strategy documents, in investor presentations and in the language of corporate ambition. Yet beneath the enthusiasm lies a quieter risk. Many boards are approaching AI as though it were simply another technology programme to be governed through the same familiar structures.
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The AI Mirage: Spotting Overstated Claims During Tech Due Diligence
Artificial intelligence is today’s talisman. It appears in every pitch deck, investor briefing and product brochure, promising a transformation that will outpace competitors and create outsized returns. Yet in the course of Technical Due Diligence, claims of being “AI-powered” often dissolve under scrutiny, revealing little more than experimentation or, in some cases, nothing beyond the