Europe: Strategy

In-house legal teams are rapidly expanding their scope of work, driven by AI capabilities and rising law firm costs. But as the perimeter of what they handle grows faster than their budgets and capacity, many are discovering that bringing work in-house creates new challenges around workload management and sustainable operations. The question isn't whether to insource more work—it's how to build the flexible, AI-enabled operating model needed to handle it effectively.

In-house legal teams are experiencing an unexpected consequence of AI adoption: while the technology promises efficiency, it's simultaneously generating unprecedented volumes of new work. From AI-drafted contracts to automated complaints, legal departments must now rethink their operational structure to handle this influx without expanding headcount. The solution lies not in resisting AI, but in using it strategically alongside robust legal operations infrastructure.

Organizations are discovering that simply adding AI tools to existing workflows yields minimal results and can even reduce productivity. The real challenge lies not in the technology itself, but in fundamentally redesigning operating models and processes built for human-only execution. Leaders who treat AI adoption as an organizational transformation rather than a technology implementation are the ones achieving measurable returns and sustainable competitive advantage.