AI Law Blawg is a curated digest of new scholarship on artificial intelligence and law. It highlights recent papers across doctrinal areas and presents them in a uniform format to make the expanding literature easier to follow.
Established in 2021, the Blawg has served as a stable archive of emerging work in AI law scholarship. Each entry includes the article title, author information, a link to the SSRN page, and the full abstract. Posts are organized across categories relevant to AI governance and modern legal doctrine, allowing the site to function as a reliable research resource for scholars and practitioners.
The archive is searchable by legal doctrine, author name, and keyword, making it easy to track developments in artificial intelligence and law and to return to prior work as the field evolves. Its goal is to serve as a central reference point for researchers following developments in AI governance, data-intensive regulation, and computational approaches to legal analysis.
AI Law Blawg is edited by Frank Fagan, Professor of Law at South Texas College of Law Houston and Affiliate Researcher at the EDHEC Augmented Law Institute (France). His work focuses on AI governance, institutional design, and the regulation of emerging technologies.