Projects
Machine-Generated Legal Documents
Document automation (also known as document assembly) pertains to systems and workflows that assist in creating electronic documents. The text assembled by computers into new documents may be pre-existing (or “canned”) or computer-generated on-the-fly. Document automation in legal is verging on mainstream, if not already in some practice areas. Stanford Law School’s CodeX Techindex, for example, lists around 250 legal document automation companies.
RegTraX
The RegTrax initiative is a response to the increasingly complex and uncertain regulatory environment in jurisdictions across the nation and the globe. Particularly in the absence of any comprehensive or integrated legal frameworks, we identified a critical need for a dynamic, collaborative blockchain regulatory hub to help build a shared understanding and a launch pad for efforts to advance thoughtful regulatory initiatives. RegTrax seeks to provide an open discussion forum for policymakers, technologists and academics, while also acting as an information hub for participants to monitor, review, analyze, and discuss regulatory, legislative and policy developments in the greater blockchain space.
MIT SMR: Responsible AI
The responsible AI initiative looks at how organizations define and approach responsible AI practices, policies, and standards. This part of the project also aims to understand transparency in digital age to further my research on watermarking AI generated content. Drawing on global executive surveys and smaller, curated expert panels, the program gathers perspectives from diverse sectors and geographies with the aim of delivering actionable insights on this nascent yet important focus area for leaders across industry.
