Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal Documents

arXiv:2403.06872v1 Announce Type: new
Abstract: Legal judgment prediction suffers from the problem of long case documents exceeding tens of thousands of words, in general, and having a non-uniform structure. Predicting judgments from such documents becomes a challenging task, more so on documents with no structural annotation. We explore the classification of these large legal documents and their lack of structural information with a deep-learning-based hierarchical framework which we call MESc; "Multi-stage Encoder-based Supervised with-clustering"; for judgment prediction. Specifically, we divide …

abstract annotation arxiv case classification cs.ai cs.cl documents frameworks general hierarchical judgment language language models large language large language models legal prediction type uniform unstructured words