Legal AI’s Legibility Problem
Increasing reliance on language models for legal tasks have led to calls for more information about the likelihood and severity of potential errors. Realizing useful and robust transparency requires an institutional perspective, say the editors of a new special section in PNAS.
Record details
Published: 4 August 2026
Source: Stanford HAI
Category: Field notes
Topics: Transparency
Retrieved: 4 August 2026
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How to cite this record
ethics.ai (4 August 2026), “Legal AI’s Legibility Problem,” evidence record 16184, https://ethics.ai/record/16184 (originally published by Stanford HAI).
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