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AI-Enhanced Drafting: Balancing Trust, Control, and Boundaries

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AI-assisted drafting: Trust, control & limits

AI is revolutionizing legal drafting by enhancing efficiency while mitigating risks. A prevalent misconception is that AI can autonomously generate complete agreements. Instead, its true value lies in intelligent retrieval and adaptation of vetted clauses, allowing legal teams to save time and reduce risk. AI should enhance the lawyer’s role from drafter to editor, maintaining speed without compromising control through transparent recommendations. Governance models are essential; they should ensure data is proprietary, source suggestions appropriately, and establish role-based controls. The concept of “market standards” is nuanced; context is critical to avoid exposure to risks defined previously by corporate decisions. AI can capture institutional knowledge, transforming tacit knowledge into accessible databases. However, AI cannot replace strategic judgment, as it lacks the ability to grasp subtle relational dynamics. For successful AI adoption, legal teams should audit data, refine playbooks, and focus on critique over drafting, ultimately empowering lawyers while streamlining the process.

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