As AI becomes embedded in legal systems, the real risk shifts from what AI can do to whether institutions can govern, secure, and live with it.
Knowledge discipline and architectural control now matter more than models.
The past year has shifted artificial intelligence in the legal sector from a theoretical "what if" to an urgent "what now." The initial excitement of generative AI has given way to the hard, complex realities of implementation, risk, client pressure, and a tangible fear of being left behind. We are no longer just "piloting" AI. We are in a full-scale race to integrate it, govern it, and prove its value.
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