Dessislav made a series of presentations organized by the Future of Law Lab at the University of Toronto’s Faculty of Law.  The presentations explored specific examples of machine learning applications in the provision of legal services, such as adapting AI NLP to legal language; using AI models built on case datasets in the prediction of legal outcomes (such as through judicial analytics and substantive judicial prediction); employing AI in contract review, issue-spotting, and other due diligence tasks; and use of AI in adjudication. The sessions also sketched the lines between what AI can do and the areas of AI limitations where the competitive advantages of the human lawyer will likely persist. Further, the presentations examined how the law as a governance tool does, can, and should set the parameters around the use of AI in the wider society given AI’s broad ethical, legal, political, and socio-economic implications. It also reviewed the key areas of AI governance (such as AI in decision-making; AI implications for human autonomy, privacy, and surveillance; Legal responsibility and personhood)