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The Unreasonable Effectiveness Of Large Language Models In Zero-Shot Semantic Annotation Of Legal Texts, Jaromir Savelka, Kevin D. Ashley
The Unreasonable Effectiveness Of Large Language Models In Zero-Shot Semantic Annotation Of Legal Texts, Jaromir Savelka, Kevin D. Ashley
Articles
The emergence of ChatGPT has sensitized the general public, including the legal profession, to large language models' (LLMs) potential uses (e.g., document drafting, question answering, and summarization). Although recent studies have shown how well the technology performs in diverse semantic annotation tasks focused on legal texts, an influx of newer, more capable (GPT-4) or cost-effective (GPT-3.5-turbo) models requires another analysis. This paper addresses recent developments in the ability of LLMs to semantically annotate legal texts in zero-shot learning settings. Given the transition to mature generative AI systems, we examine the performance of GPT-4 and GPT-3.5-turbo(-16k), comparing it to the previous …
A Theory Of Federalization Doctrine, Gerald S. Dickinson
A Theory Of Federalization Doctrine, Gerald S. Dickinson
Articles
The doctrine of federalization—the practice of the U.S. Supreme Court consulting state laws or adopting state court doctrines to guide and inform federal constitutional law—is an underappreciated field of study within American constitutional law. Compared to the vast collection of scholarly literature and judicial rulings addressing the outsized influence Supreme Court doctrine and federal constitutional law exert over state court doctrines and state legislative enactments, the opposite phenomenon of the states shaping Supreme Court doctrine and federal constitutional law has been under-addressed. This lack of attention to such a singular feature of American federalism is striking and has resulted in …