mlsanityData to 14 Oct 2026

LegiScout: A Visual Tool for Understanding Complex Legislation

arXiv 2510.01195 ↗First posted 27 Aug 2025cs.HC cs.AI cs.CYcited by 0

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Abstract (arXiv)

Modern legislative frameworks, such as the Affordable Care Act (ACA), often involve complex webs of agencies, mandates, and interdependencies. Government issued charts attempt to depict these structures but are typically static, dense, and difficult to interpret - even for experts. We introduce LegiScout, an interactive visualization system that transforms static policy diagrams into dynamic, force-directed graphs, enhancing comprehension while preserving essential relationships. By integrating data extraction, natural language processing, and computer vision techniques, LegiScout supports deeper exploration of not only the ACA but also a wide range of legislative and regulatory frameworks. Our approach enables stakeholders - policymakers, analysts, and the public - to navigate and understand the complexity inherent in modern law.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 20 references that are in the map. First posted on arXiv 27 Aug 2025.

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References · 5

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  3. 2017Mask R-CNNcited by 7,277
  4. 2019ERNIE: Enhanced Language Representation with Informative Entitiescited by 528
  5. 2021LexGLUE: A Benchmark Dataset for Legal Language Understanding in Englishcited by 310

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