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This article examines the transformative impact of generative AI on law as a text-centric system. It argues that the computational rendering of legal language through embeddings and large language models promises a double access revolution: lowering barriers for litigants and increasing efficiency for legal professionals and courts. Yet these gains come with acute risks, from hallucinated authorities and skewed outputs to prompt variance, docket overload, epistemic contamination, and professional monoculture. The article advocates a jurisprudence of augmentation in which human legal actors retain non-delegable responsibility for verification, judgment, and accountability.
Damien Charlotin (Fri,) studied this question.