{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7600c7aadc2249a2b37fdd3cd23dcda2\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7600c7aadc2249a2b37fdd3cd23dcda2-d310c0233ad06387.gif","duration":5285,"title":"Contracting in a Changing Landscape: Redlines, Versioning, Negotiation, and the Role of AI","description":"This Loom explains how to use AI safely for reviewing and redlining clinical trial and sponsored research agreements. It highlights creating a reusable “skill” workflow in Claude (and discusses similar support in ChatGPT) that automatically summarizes an attached agreement, flags issues, outputs a table of flagged clauses, and can generate track-changes redlines for human review. The session emphasizes that AI tools should be institution-approved, with data retention and privacy considerations checked with legal and IT, and that AI should not make final negotiation decisions. Melissa then reviews the complex contracting landscape for research administration, including regulatory and compliance pressures, increased scrutiny, and how AI may support tasks like document comparison, redlining assistance, and drafting arguments while requiring human verification."}