preprints_ui: bheqw_v1
Data license: ODbL (database) & original licenses (content) · Data source: Open Science Framework
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| bheqw_v1 | Generative AI Large Language Models and Researching the Law | Generative AI Large Language Models (LLMs) are rapidly influencing the legal research landscape, challenging the traditional cognitive authority within the profession. This article explores how these models, despite their potential to simplify the vast amount of legal information, may also introduce risks of misinformation due to AI "hallucinations" and the advantages and limitations of retrieval-augmented generation (RAG) systems. By examining various legal research problems, the article highlights both the capabilities and shortcomings of generative AI in legal contexts. It emphasizes the need for vigilance, critical thinking, and a continued reliance on traditional research methods to mitigate the risks associated with over-reliance on AI-generated content. As the legal profession confronts an overwhelming influx of information, the role of AI in legal research will likely grow, making it crucial to balance cognitive ease with accuracy and reliability. | 2024-08-16T13:49:15.031953 | 2024-10-04T13:17:37.673867 | 2024-08-16T13:54:27.709960 | 2024-08-12T05:00:00 | lawarxiv | 1 | accepted | 1 | 1 | https://doi.org/10.31228/osf.io/bheqw | No license | AI Hallucinations; Artificial Intelligence in Law; Cognitive Authority; Cognitive Ease; Generative AI; Large Language Models; Legal Ethics; Legal Information; Legal Research; Retrieval-Augmented Generation | ["AI Hallucinations", "Artificial Intelligence in Law", "Cognitive Authority", "Cognitive Ease", "Generative AI", "Large Language Models", "Legal Ethics", "Legal Information", "Legal Research", "Retrieval-Augmented Generation"] | Paul Douglas Callister | [{"id": "tv7cx", "name": "Paul Douglas Callister", "index": 0, "orcid": "0000-0002-9613-0138", "bibliographic": true}] | Paul Douglas Callister | Law; Science and Technology Law; Legal Writing and Research | [{"id": "59bacc7e54be810341615c32", "text": "Law"}, {"id": "59bacc8954be810341615e19", "text": "Science and Technology Law"}, {"id": "59bacc8a54be810341615e5f", "text": "Legal Writing and Research"}] | https://osf.io/download/66bf58f044d939e49cc5cdda | 0 | not_applicable | not_applicable | [] | 2025-04-09T21:06:12.605603 |