Courts and litigants continue to grapple with the new frontier of artificial intelligence (“AI”). One recent case in California demonstrates a new wrinkle in this evolving landscape—the use of AI to aggregate class claims.
Because class settlements bind absent class members who do not object or opt out, Rule 23 requires courts to carefully review and approve them as “fair, reasonable, and adequate.” An important part of this inquiry is making sure class members are given adequate notice of the terms of the proposed settlement and their rights. When class members are required to submit claims to access settlement benefits, parties often turn to professional claims administration companies to assist in providing notice and facilitating the claims process. Under Rule 23, courts closely monitor the information that flows from class counsel and claims administrators to putative class members to make sure it complies with due process.
Continue Reading California Federal Court Clamps Down on ‘En Masse’ Class Claims Identified by AI