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Full-Text Articles in Law Librarianship
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 …
Law And Heidegger’S Question Concerning Technology: Prolegomenon To Future Law Librarianship, Paul D. Callister
Law And Heidegger’S Question Concerning Technology: Prolegomenon To Future Law Librarianship, Paul D. Callister
Faculty Works
Following World War II, the German philosopher Martin Heidegger offered one of the most potent criticisms of technology and modern life. His nightmare is a world whose essence has been reduced to the functional equivalent of a giant gasoline station, an energy source for modern technology and industry. "This relation of man to the world [is] in principle a technical one . . . [It is] altogether alien to former ages and histories. For Heidegger, the problem is not technology itself, but the technical mode of thinking that has accompanied it." Such a viewpoint of the world is a useful …