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Human-in-the-loop drafting

The Shift to Institutional Oversight in AI-Assisted University Patent Drafting

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In academic environments, hallucinations, opaque sourcing, and fabricated citations don’t just create bad drafts - they erode credibility with faculty, sponsors, and downstream licensees. This guide explains what trustworthy AI use looks like inside the university patent pipeline, and how to operationalize oversight without slowing everything down.

Inside the guide you'll learn:

  • Customer-Centric IP Starts With People

    Why TTO interest in AI is rising (and where it can actually help)

  • Rethink Processes with Stakeholders in Mind

    The “closed universe” model: keeping drafting grounded in your source materials

  • Tech Should Serve Everyone, Not Just Legal

    How provenance tracking reduces hallucination risk and reputational blowback

  • Mission

    Human-in-the-loop workflows that preserve professional judgment

  • Mission

    Institutional framing that increases faculty trust and adoption