{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2a204d71715a49298bb4e1ded6276a60\" frameborder=\"0\" width=\"1662\" height=\"1246\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1246,"width":1662,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1246,"thumbnail_width":1662,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2a204d71715a49298bb4e1ded6276a60-49df4995a0f3b1e3.gif","duration":400.503,"title":"How Tower Streamlines Real Estate Diligence","description":"This Loom explains why diligence fails before analysis starts and how Tower addresses that gap. Noah, co-founder of Tower and former Dentons M&A lawyer and AI industry co-lead, says most time and anxiety goes to confirming the right information is collected, since missing or wrong documents lead to mispricing, misreps, duplicated work, and post-close liabilities. Tower provides a unified diligence workspace with four workflows: centralizing deal data, managing diligence request lists, gap-analysis organization and verification of documents, and AI-assisted review to generate deliverables like lease abstracts and rent rolls, with citations for auditing. He notes Tower is live with deal teams across North America and highlights upcoming autonomous agents for generating follow-up questions and re-diligencing as new data is uploaded."}