Automated Attribute Extraction from Legal Proceedings
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Abstract (arXiv)
The escalating number of pending cases is a growing concern world-wide. Recent advancements in digitization have opened up possibilities for leveraging artificial intelligence (AI) tools in the processing of legal documents. Adopting a structured representation for legal documents, as opposed to a mere bag-of-words flat text representation, can significantly enhance processing capabilities. With the aim of achieving this objective, we put forward a set of diverse attributes for criminal case proceedings. We use a state-of-the-art sequence labeling framework to automatically extract attributes from the legal documents. Moreover, we demonstrate the efficacy of the extracted attributes in a downstream task, namely legal judgment prediction.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 18 Oct 2023.
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- 2026Annotating Topical Legal Insights from Case Proceedingscited by 0
- 2026Annotating Topical Legal Insights from Case Proceedings30 Jul 2026