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Evidence record 18072 · automatically gathered

Explainable Statute Prediction via Attention-based Model and LLM Prompting

In this paper, we explore the problem of automatic statute prediction where for a given case description, a subset of relevant statutes are to be predicted. Here, the term statute refers to a section, a sub-section, or an article of any specific Act. Addressing this problem would be useful in several applications such as AI-assistant for lawyers and legal question answering system. For better user acceptance of such Legal AI systems, we believe the predictions should also be accompanied by human

Record details

Published: 10 August 2026
Source: Artificial Intelligence and Law
Category: Research
Topics: Transparency
Retrieved: 11 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Transparency

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Shared topic: Transparency

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How to cite this record

ethics.ai (10 August 2026), “Explainable Statute Prediction via Attention-based Model and LLM Prompting,” evidence record 18072, https://ethics.ai/record/18072 (originally published by Artificial Intelligence and Law).

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