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Legal Ethics and Professional Responsibility Commons™
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Articles 1 - 2 of 2
Full-Text Articles in Legal Ethics and Professional Responsibility
Large Language Models: Ai's Legal Revolution, Adam Allen Bent
Large Language Models: Ai's Legal Revolution, Adam Allen Bent
Pace Law Review
This article contemplates and advocates for the use of Artificial Intelligence (“AI”) through Large Language Models (“LLM”) in legal practice. The author ultimately addresses the need to orient LMMs within varying legal contexts including academia, private practice, as well as the U.S. court system. Additionally, the author emphasizes the inevitability of AI and LLM systems infiltrating legal practice, and the reality that the industry must acknowledge and accept these systems to regulate and to provide better while still ethical legal services. Large Language Models: AI’s Legal Revolution, begins by walking the reader through the history of technological innovation of AI, …
A Synthesis Of The Science And Law Relating To Eyewitness Misidentifications And Recommendations For How Police And Courts Can Reduce Wrongful Convictions Based On Them, Henry F. Fradella
A Synthesis Of The Science And Law Relating To Eyewitness Misidentifications And Recommendations For How Police And Courts Can Reduce Wrongful Convictions Based On Them, Henry F. Fradella
Seattle University Law Review
The empirical literature on perception and memory consistently demonstrates the pitfalls of eyewitness identifications. Exoneration data lend external validity to these studies. With the goal of informing law enforcement officers, prosecutors, criminal defense attorneys, judges, and judicial law clerks about what they can do to reduce wrongful convictions based on misidentifications, this Article presents a synthesis of the scientific knowledge relevant to how perception and memory affect the (un)reliability of eyewitness identifications. The Article situates that body of knowledge within the context of leading case law. The Article then summarizes the most current recommendations for how law enforcement personnel should—and …