AI RESEARCH
Towards Intelligent Legal Document Analysis: CNN-Driven Classification of Case Law Texts
arXiv CS.CL
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ArXi:2604.17674v1 Announce Type: new Legal practitioners and judicial institutions face an ever-growing volume of case-law documents characterised by formalised language, lengthy sentence structures, and highly specialised terminology, making manual triage both time-consuming and error-prone. This work presents a lightweight yet high-accuracy framework for citation-treatment classification that pairs lemmatisation-based preprocessing with subword-aware FastText embeddings and a multi-kernel one-dimensional Convolutional Neural Network.