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False News

US lawyer sanctioned after being caught using ChatGPT for court brief | Utah

News RoomBy News RoomMay 31, 2025Updated:June 2, 20252 Mins Read
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The case involving Richard Bednar, a UT student counselor, has_PD_for_interlocutory Appeals_squared, is being complicated by a_Utah court of Appeals decision. The Supreme Court found that Bednar made aPetITION for interlocutory Appeals_falling short of the bar’s gatekeeping responsibilities. He submitted a Petition_f filled with false evidence復 of citations generated by AI, including citations to non-existent cases. The Transition contained references to a lawsuit titled “Royer v. Nelson,” which did not exist in any legal database. Bednar admitted errors in his Petition and apologized, while the opposing counsel also acknowledged and amended. Bednar contradicted the claim that his law clerk wrote the Petition, highlighting his lack of independent verification of its content. The barholder also seeks repayment of attorney fees and a donation to a public legal non-profit organization.

Short-term concerns for Bednar have started to materialize. The UT contradicted his position, citing him as a law school graduate who was terminated. Bednar is also asking his attorney for amends. The student counselor threatens to pay attorney fees for the Petition and any related Cases. He also suggests taking on public universities as a stepping stone for bar-related research and writing, highlighting the growing need for such U.S.رجues coordinated efforts.

Given the discovery of the false citations, the Bar of Utah ordered Bednar to make amends, paying attorney fees, refunding time costs, and donating $1,000 to the organization And Justice for All. The Court in its dissent agreed with its findings, emphasizing the evolution of AI in legal drafting as a significant research tool. It also highlighted the Deadline Bednar had to review his Petition before submission and the need to ensure it was error-free. The landmark decision reflects a growing conventionality that legal research tools should not generate unauthorized documentation. It serves as a wake-up call for UT and other universities to reevaluate their role in advancing AI-driven legal research and practice. The case underscores the critical need for human oversight in human endeavor, particularly in endeavors that create, modify, and release AI-generated content. The outcome has sparked a wave of growing criticism and calls for action, including public statements from law schools and policymakers. bedsnis

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