Automation Comes to Our Litigation Nation with James Lee

June 20th, 2024|Categories: ELP|Tags: , , , , , , , , , , , , , , , , , , |

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!

JEIL S24 Top Legal Risks with Generative AI by Graham Reynolds, Robin Sagstetter, and Damon W.D. Wright

April 19th, 2024|Categories: Emerging Litigation & Risk, HB Emerging Law Notes, HB Tort Notes, Journal on Emerging Issues in Litigation, New Featured Post for Home Page|Tags: , , , , , , , , , , |

The authors, Graham Reynolds, Robin Sagstetter, and Damon W.D. Wright discuss recent court cases which have brought to the forefront the top legal risks associated with the use of Generative AI.

The Intersection of Generative AI and the Legal Profession with Niki Black

March 17th, 2024|Categories: ELP|Tags: , , , , , , , , , , , , , |

In this episode, we discuss the current state and future of generative artificial intelligence and the practice of law with Nicole Black, attorney, legal tech journalist, and author. As she notes, "The legal field is one of the most likely to be impacted by generative AI because the technology can significantly replace certain workflows or assist with those workflows in impactful ways". Listen and learn more!

Copyright Issues in Generative AI for Software: Doe v. Github, Inc. et al.

January 17th, 2024|Categories: Emerging Litigation & Risk, HB Emerging Law Notes, HB Tort Notes, Journal on Emerging Issues in Litigation, New Featured Post for Home Page, Tort Litigation|Tags: , , , , , , , , , |

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".

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