Emerging Litigation Podcast
Automation Comes to Our Litigation Nation with James Lee
In this episode, we discuss litigation automation and another case in which innovators are using artificial intelligence to transform legal operations with guest James M. Lee, co-founder and CEO of LegalMation. Listen and learn more!
Mental Wellbeing and Fulfillment for Litigators: Sara Lord Interviews Gary Miles
In this episode, Sara Lord of Legal Metrics speaks with Gary Miles, success coach and former litigator. about the professional dissatisfaction litigators experience when the pursuit of fulfillment clashes with high-stress demands, and practical strategies for managing anxiety and embracing mindfulness. Listen and learn.
Litigation Prognostication with Dan Rabinowitz
In this episode, Dan Rabinowitz, Co-Founder and CEO of Pre/Dicta, discusses how the power of technology will make predicting litigation as commonplace as predicting the weather. He also shares insights into a study Pre/Dicta conducted that tested assumptions about judges based on their political affiliations. Listen and learn!
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Critical Legal Content was founded by Tom Hagy, former Editor & Publisher of Mealey’s Litigation Reports and VP at LexisNexis, founder of HB, current litigation podcaster and editor-in-chief. CLC’s mission is to help smaller firms and service providers not only create content — blogs, articles, papers, webinars, podcasts (like the stuff on this site) — but also to get it out there. How? Via social media, this website, your website, and potential via our podcast and journal which we publish in collaboration with vLex Fastcase and Law Street Media. The goal is to attract readers and dizzy them with your brilliance.
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Journal on Emerging Issues in Litigation
Copyright Issues in Generative AI for Software: Doe v. Github, Inc. et al.
The ongoing case of Doe v. Github Inc. et al. addresses copyright-related issues inherent in the Copilot generative AI that allows users to enter prompts to generate software code. This case addresses many of the issues involved in the training and use of generative AI for generating software code. The author, Jeffrey Gluck examines these issues, which he anticipates will have far-reaching implications for AI-generated works in the future. As Jeffrey notes, "Github is a case that may have far-reaching implications for AI-generated works in the future".
The Promise and Peril of Quantum Computing and Its Implications for Cyber Insurance
Quantum computing, like artificial intelligence, is one of several emerging technologies that could either save the planet or end the world, depending on which expert is holding forth on the issue. This article explores the promise and peril of quantum computing and the potential coverage implications under cyber insurance policies. As Cameron notes, "while cyber insurance may provide some coverage for hazards that result from quantum computing, those policies may not respond to many of the risks".
FTC v. Amazon: Market Definitions and Section 5 of the FTC Act
Traditional antitrust economics face significant challenges grappling with the relatively new digital economy. The author, Jonathan Rubin examines these and other issues raised in the case of FTC v. Amazon, which he anticipates will be a crucial test for antitrust and the FTC Act.
HB Webinars on the West LegalEdcenter
Adapting to AI: Taking A Practical Approach Governance, Introductory Level for New Attorneys and Legal Staff
Robinson+Cole attorney Blair Robinson and knowledge management leader Liz Salsedo discuss how attorneys and legal staff can adapt to AI by taking a practical approach to governance, addressing its potential and attendant risks, legislative and regulatory considerations, and how to incorporate AI most responsibly into their legal practice or business.
AI Nuts & Bolts Survival Guide: Artificial Intelligence – Discrimination in Employment Context
On this CLE webinar, Duane Morris LLP Attorneys Alex W. Karasik, Gerald L. Maatman, Jr., and George J. Schaller discuss two novel artificial intelligence lawsuits, recent governmental guidance related to AI use, the business risks associated with AI, and mitigation strategies. 
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