Superjustice: Ben Alarie on AI, Abundant Legal Help and the Future of Lawyers
About this episode
The episode discusses the concept of superjustice and the role of AI in making legal help more accessible and personalized.
What would justice look like if legal help were abundant rather than scarce? In this episode, Armin Alimardani and Mark Bennett speak with Professor Benjamin Alarie, Osler Chair in Business Law at the University of Toronto and co-author of Superjustice: Law in the Age of Artificial Intelligence . Ben presents a provocative vision of AI-enabled justice that could make legal guidance and dispute resolution more accessible, personalised and responsive - not only to legal rights and material outcomes, but also to whether people feel heard and respected. The conversation explores what superjustice would look like, whether machines can exhibit empathy or support the exercise of discretion, why human values must be built into AI systems through “algorithmic constitutionalism”, and what might happen when legal AI becomes difficult for an individual lawyer or judge to confidently override. It also examines the future of lawyers and legal education: the enduring value of critical thinking, multidisciplinarity, intellectual and social maturity, and learning to work with powerful AI tools while retaining human responsibility for the institutions, values and guardrails that shape justice…
People in this episode
Hosts: Armin Alimardani, Mark Bennett
Guest: Benjamin Alarie
Topics covered
- AI in legal practice
- access to justice
- future of lawyers
- algorithmic constitutionalism
- legal education
- empathy in AI
Keywords
- AI
- legal help
- superjustice
- lawyers
- algorithmic constitutionalism
- legal education
- empathy
- dispute resolution
Mentioned in this episode
Organizations: University of Toronto, Blue J
Books & works: Superjustice: Law in the Age of Artificial Intelligence
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