From the source
Introduction CIOs sit at the fault line of competing demands.
Clients want the gains of generative AI (faster drafts, tighter diligence, sharper risk detection) without sacrificing privilege, confidentiality, or control.
Some clients push for broad adoption; others prohibit it entirely.
Many require matter-by-matter constraints on where data is processed, how long it is retained, and which models may touch it.
Internally, partners and associates bring preferences shaped by practice, training, and specialization.
What sounds like a single question, “Can we use AI safely?”
fractures into thousands of policy variants that must be enforced with precision across thousands of clients, thousands of lawyers, and hundreds of tools.
The practical consequence is a widening governance surface.
Every new tool, integration, or model adds another place where policies must be expressed, enforced, and audited.
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