The goal is to replace lawyers with AI, right?
Artificial Intelligence and Law – An Overview of Recent Technological Changes in Large Language Models and Law
Surden, Harry, Artificial Intelligence and Law – An Overview of Recent Technological Changes in Large Language Models and Law (February 12, 2025). 96 Colorado Law Review pp. 376 – 411 (2025), U of Colorado Law Legal Studies Research Paper No. 25-8, Available at SSRN: https://ssrn.com/abstract=5135305 or http://dx.doi.org/10.2139/ssrn.5135305
“This article, based upon a keynote address by Professor Harry Surden, provides an in-depth overview of the recent advancements in artificial intelligence (AI) since 2022, particularly the rise of highly capable large language models (LLMs) such as OpenAI’s GPT-4, and their implications for the field of law. The talk begins with a historical perspective, tracing the evolution of AI from early symbolic systems to the modern deep learning era, highlighting the breakthroughs that have enabled AI to process and generate human language with unprecedented sophistication. The address explores the technical foundations of contemporary AI models, including the transition from rule-based systems to data-driven machine learning, the role of deep learning, and the emergence of transformers, which have significantly enhanced AI’s ability to understand and generate text. It then examines the capabilities and limitations of GPT-4, emphasizing its strengths in legal research, document drafting, and analysis while also identifying key concerns, such as hallucinations, biases, and the sensitivity of AI outputs to user prompts. The article also considers the potential risks of using AI in legal decision-making, particularly in judicial settings, where AI-generated legal reasoning may appear authoritative yet embed subtle interpretive choices. It argues that while AI can assist in legal tasks, it should not be treated as a neutral arbiter of law. It concludes by addressing near-term trends in AI, including improvements in model accuracy, interpretability, and integration into legal workflows, and emphasizes the need for AI literacy among legal professionals.”
(Related)
Measuring the Rapidly Increasing Use of Artificial Intelligence in Legal Scholarship
Conklin, Michael and Houston, Christopher, Measuring the Rapidly Increasing Use of Artificial Intelligence in Legal Scholarship (March 23, 2025). Available at SSRN: https://ssrn.com/abstract=5190385 or http://dx.doi.org/10.2139/ssrn.5190385
“The rapid advancement of artificial intelligence (AI) has had a profound impact on nearly every industry, including legal academia. As AI-driven tools like ChatGPT become more prevalent, they raise critical questions about authorship, academic integrity, and the evolving nature of legal writing. While AI offers promising benefits—such as improved efficiency in research, drafting, and analysis—it also presents ethical dilemmas related to originality, bias, and the potential homogenization of legal discourse. One of the challenges in assessing AI’s influence on legal scholarship is the difficulty of identifying AI-generated content. Traditional plagiarism-detection methods are often inadequate, as AI does not merely copy existing text but generates novel outputs based on probabilistic language modeling. This first-of-its-kind study uses the existence of an AI idiosyncrasy to measure the use of AI in legal scholarship. This provides the first-ever empirical evidence of a sharp increase in the use of AI in legal scholarship, thus raising pressing questions about the proper role of AI in shaping legal scholarship and the practice of law. By applying a novel framework to highlight the rapidly evolving challenges at the intersection of AI and legal academia, this Essay will hopefully spark future debate on the careful balance in this area.”
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