# Automated Attribute Extraction from Legal Proceedings

arXiv: https://arxiv.org/abs/2310.12131 · HTML: https://mlsanity.com/paper/2310.12131/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Oct 2023.

## Built on by (most cited first, 1 of 1)

- [Annotating Topical Legal Insights from Case Proceedings](https://mlsanity.com/paper/2607.27792/) (2026)

## 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.