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Legal AI is priced for perfection: your firm’s data is not

Record valuations assume legal AI will deploy flawlessly. Inside most law firms, the data it depends on is anything but flawless and for SME firms, that gap is now the difference between AI that pays back and AI that stalls.  Capital is betting on flawless execution In the first half of 2026, capital moved into […]

AI is not transforming law firms: leadership decisions are

AI dominates discussions about the future of legal practice, yet technology itself is not what determines which firms succeed. According to the Thomson Reuters Future of Professionals Report 2025, 80% of law firm professionals expect AI to fundamentally change how their firms conduct business over the next five years. Despite this, only 22% report that […]

Big Law may be buying AI, but the mid-market may be the one that make it work

There is a familiar refrain in the mid-market legal sector: we are waiting to see what the big law firms do. It is usually presented as prudence. Let the global firms buy the licences, absorb the false starts, run the pilots and discover which tools actually work. Then the rest of the market can move […]

From document automation to workflow maturity: rethinking how legal work gets done

For more than a decade, law firms have invested heavily in technology designed to make legal work faster, more consistent, and less risky. Document management systems (DMS), precedent libraries, and automation tools are now commonplace across firms of all sizes. Yet despite this investment, many firms continue to struggle with fragmented workflows, inconsistent drafting practices, […]

Current trends for law firm adoption of AI: moving beyond ‘wow’ reactions and towards measurable ROI

AI has moved rapidly from being a curiosity to being a partnership meeting agenda item in law firms of all sizes. Early reactions to genAI tools were often defined by surprise at their apparent intelligence and speed. However, as the initial impressions fade, law firm leaders are now asking harder, more consequential questions including: How […]