P2P

P E E R T O P E E R M A G A Z I N E · S P R I N G 2 0 2 6 11 This is the illusion of maturity. AI is visible, so maturity is assumed. But visible activity is not the same as institutional capability. A firm is not mature because lawyers can access AI tools. This is why AI maturity should be understood first as an operating model question, not a tooling question. The real issue is not whether a firm has access to impressive systems. It is whether the firm has built the institutional conditions for coherent use. The organization can explain where AI is used, which data sources are involved, what standards govern use, who owns the process, how outputs are validated, how exceptions are handled, and whether the workflow is improving results for clients and for the business. The task, then, is not simply to adopt AI. It is to distinguish visible motion from genuine maturity. That requires a more honest diagnosis, one that looks past Many firms are currently in a stage of fragmented experimentation. The interest is real, but progress is uneven and often hard to see clearly. One practice group may be finding genuine value while another is still at the stage of curiosity. Leadership may be enthusiastic while lawyers remain uncertain. In some firms, knowledge teams are driving practical innovation, while governance lags behind actual behavior. That is why linear stage models often fail to capture what is happening. Organizational change rarely moves in a straight line. A firm can be advanced in one respect and underdeveloped in another. It can have meaningful use cases without institutional coordination. What leaders need instead is a clearer diagnostic tool. A way to evaluate the institutional capabilities that actually determine whether AI can be deployed effectively. The following framework examines AI maturity across two dimensions: the clarity of real use cases and the level of institutional commitment to support them. Together, these forces create a simple quadrant that explains why many firms appear further along than they are, and what it takes to move from experimentation to genuine integration. A BETTER WAY TO MEASURE PROGRESS 2 the noise of licenses, pilots, and demos and asks a harder question: Has the firm begun to build the institutional capability required to make AI part of how legal work is actually delivered?

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