Latest posts
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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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Introducing the AI control surface: mapping models, data, risk, and ownership
Most organisations are no longer asking whether they should use AI. They are already using it, often in more places than they realise. Individually, none of these decisions look particularly dangerous. Collectively, they can create a situation where AI is spread across the organisation with no clear ownership, unclear data usage, and inconsistent risk management.
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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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What Technical Due Diligence now expects to see around AI usage
Artificial intelligence is no longer experimental in UK SMEs. It is embedded in sales workflows, underwriting models, forecasting tools, customer communications and product features. In many cases it has become operationally critical without ever becoming formally governed. That shift matters in due diligence. Traditional technical due diligence has focused on platform scalability, cyber posture, code
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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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AI Risk in Due Diligence: Data, Ethics, and the Black Box Problem
Iincreasingly, we start a Technical Due Diligence to be told that the target company’s edge lies in its “AI-driven technology”. This is almost always said with confidence and with a slide or two showing impressive-looking performance metrics. But the moment we begin to examine that claim in detail, the tone changes. The conversation becomes more
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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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From Buzzword to Business Impact: Helping Boards Understand AI Through a Strategic Lens
We can all agree that artificial intelligence has moved from the pages of research papers to the agendas of boardrooms. What was once an abstract concept has now become a practical tool that shapes how organisations operate, compete and grow. Yet for many directors, AI remains clouded in jargon and hype. The challenge for boards
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What Does AI Readiness Look Like in Technical Due Diligence?
In the current climate of digital transformation, few technologies command as much attention as Artificial Intelligence. Whether it is enhancing operational efficiency, enabling new forms of automation, or underpinning entire product offerings, AI is no longer optional for innovative companies. As such, investors and acquirers are increasingly scrutinising a company’s AI maturity during technical due