The Yale Law Journal Podcast Yale University

What happens when a federal judge makes a mistake in calculating your sentence? On our first episode, we interview Kate Huddleston (YLS '16) about her forthcoming piece "Federal Sentencing Error as Loss of Chance" and delve into the world of challenging sentences based on incorrect calculations under the federal Sentencing Guidelines.

Should a court be able to identify each individual member of a plaintiff class before allowing a class action lawsuit to go forward? In this episode, we interview Geoff Shaw (YLS 2016) about his forthcoming Note, "Class Ascertainability."

Princeton Ph.D. candidate Sarah Seo discusses her work on the relationship between the rise of car culture and the development of American criminal procedure in the 20th century.

YLJ Podcast: Immutable Traits in Antidiscrimination Law

On this episode of the Yale Law Journal Podcast, co-hosts Cody Poplin and Sasha Dudding interview Professor David Pozen about his recently published Article, Transparency’s Ideological Drift. The Article traces transparency’s drift in the United States from a progressive to a more libertarian, or neoliberal, orientation and offers some reflections on the causes and consequences—and on the possibility of a reversal.

Will advances in robotics, artificial intelligence, and machine learning put vast swaths of the labor force out of work or into fierce competition for the jobs that remain? Or, as in the past, will new jobs absorb workers displaced by automation? On this episode of the Yale Law Journal Podcast, co-hosts Cody Poplin and Emily Shire interview Professor Cynthia Estlund about her recently published Article, What Should We Do After Work? Automation and Employment Law, which tackles this topic head on. The Article argues that these questions have profound implications for the fortress of rights and benefits that has been constructed on the foundation of the employment relationship, and it charts a path for reforming that body of law in the face of justified anxiety and uncertainty about the future effect of automation on jobs.