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The Last Human Question: Generative Ai's Existential Threat To Consensus And Law, Joshua Fairfield
The Last Human Question: Generative Ai's Existential Threat To Consensus And Law, Joshua Fairfield
West Virginia Law Review
The true risk of artificial intelligence (“AI”) is not that the toasters will rise up. It is that AI will be competent to perform human tasks and indifferent to human welfare. The risk is that we will be outcompeted by generative automated processes that create output similar to ours (although never the same, as this Article explains), but which need none of the outputs of the economy for food, shelter, or human flourishing. Further, a more precise and existential description of the threat is that generative AI will disrupt and crowd out humanity’s evolutionary superpower, our ability to generate agreement …
Ai And Law Milestones: From Top-Down To Bottom-Up Computational Models Of Legal Reasoning (And Back), Kevin Ashley
Ai And Law Milestones: From Top-Down To Bottom-Up Computational Models Of Legal Reasoning (And Back), Kevin Ashley
West Virginia Law Review
This Article introduces five research and development milestones in the field of Artificial Intelligence and Law and then discusses how large language models (“LLMs”) and generative AI (“GenAI”) are affecting each of them. The milestones include legal expert systems, lessons learned in computationally modeling legal rules and statutes, knowledge-based models of legal argument, machine learning models that classify case texts and predict outcomes, and the design and evaluation of legal applications of LLMs and GenAI. These milestones illustrate how top-down knowledge-based computational models of legal expertise have rapidly given way to bottom-up models based on machine learning. Knowledge-based models explicitly …
A View Under The Hood: Duquesne Kline's Law And Computing Program, Wesley M. Oliver, Katherine L.W. Norton, Martin Mckown, David Horrigan
A View Under The Hood: Duquesne Kline's Law And Computing Program, Wesley M. Oliver, Katherine L.W. Norton, Martin Mckown, David Horrigan
West Virginia Law Review
No abstract provided.
Training New Lawyers With And For Generative Ai: A Semester-Long Experiment Scaling Clinical Friction In The Doctrinal Classroom, Frank W. Volk
Training New Lawyers With And For Generative Ai: A Semester-Long Experiment Scaling Clinical Friction In The Doctrinal Classroom, Frank W. Volk
West Virginia Law Review
No abstract provided.
Augmented Advocacy: Ethical Constraints And Regulatory Gaps In Ai-Driven Legal Practice, Molly M. Rowlands
Augmented Advocacy: Ethical Constraints And Regulatory Gaps In Ai-Driven Legal Practice, Molly M. Rowlands
West Virginia Law Review
The rapid advancement of artificial intelligence (“AI”) and particularly generative AI (“Gen AI”) is reshaping the legal profession in unprecedented ways. AI-powered tools enhance efficiency, improve accuracy in legal analysis, and expand access to justice by automating research, contract review, litigation support, and predictive analytics. However, these benefits come with significant ethical, regulatory, and procedural challenges, including competency concerns and AI “hallucinations,” data confidentiality risks, algorithmic bias, and the environmental impact of AI-driven computing. This Note critically examines the evolving role of AI in legal practice and evaluates the inadequacies of existing regulatory frameworks—such as Rule 11 of the Federal …