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Simon Wallace examines how computational methods and artificial intelligence can be applied to analyse large datasets of legal texts. He is dedicated to uncovering the ‘great unread’ of legal texts, considering that the legal system generates texts exceeding individual researchers’ capacity to review comprehensively. He poses the question of whether a computer, when adequately trained and programmed, could aid in formulating a novel approach towards the extensive archive of neglected legal texts. Wallace’s scholarship is inspired by digital humanists, focusing on methods to evaluate texts to identify deep, recurring patterns within the law. His publications include extensive empirical studies featured in national and international journals, alongside significant exploration into the history of deportation law and the impact of technological advancements on new border enforcement practices. He is the creator of Obiter.ai, an open-source Python library for legal research, and BenchBabble.ca, which monitors historical trends in Supreme Court of Canada rulings. Prior to attaining his doctorate from Osgoode Hall Law School, Wallace advocated as a defence lawyer specializing in immigration detention and deportation. He has engaged with numerous judicial bodies, advocating for the rights of detainees, particularly focusing on those subjected to solitary confinement.
Department of Chemical Engineering