Hierarchical Sorting of Legal Text Using NLP

In the ever-evolving landscape of Legal Tech, one of the key challenges faced by companies revolves around the intricate task of reconstructing hierarchical structures within regulatory documents after parsing. The ability to establish clear parent-child relationships between paragraphs is pivotal for organizing data in a way that not only benefits our customers but also fuels various machine learning applications. In response to this challenge, I have developed a robust system capable of organizing a given list of paragraphs into a hierarchy by defining precise parent-child relationships between them. In this article, I will walk you through the process, share insights into the dataset used, and discuss the solution’s performance. <a href="https://christiangrech.medium.com/hierarchical-sorting-of-legal-text-using-nlp-731a6046657d">Learn More</a>