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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Generative Ai Large Language Models And Researching The Law, Paul D. Callister
Generative Ai Large Language Models And Researching The Law, Paul D. Callister
Faculty Works
The article discusses the transformative impact of generative AI large language models (LLMs) on legal research. Callister explores how these AI models, despite their current imperfections, are poised to shift the cognitive (or trusted) authority within the legal profession. He attributes this shift to the ease with which AI processes vast amounts of legal information and the anthropomorphic design of LLMs, which fosters trust among users. Callister introduces the concept of Retrieval-Augmented Generation (RAG), explaining how AI platforms integrate legal texts into their responses, enhancing their reliability over purely generative models. Through various examples, he demonstrates the strengths and limitations …
Generative Ai And Finding The Law, Paul D. Callister
Generative Ai And Finding The Law, Paul D. Callister
Faculty Works
Legal information science requires, among other things, principles and theories. The article states six principles or considerations that any discussion of generative AI large language models and their role in finding the law must include. The article concludes that law librarianship will increasingly become legal information science and require new paradigms. In addition to the six principles, the article applies ecological holistic media theory to understand the relationship of the legal community’s cognitive authority, institutions, techné (technology, medium and method), geopolitical factors, and the past and future to understand the changes in this information milieu. The article also explains generative …