Improving Law Interpretability Using NLP

This course aims to teach learners how Natural Language Processing (NLP) techniques can be applied to improve the interpretability of legal texts, specifically focusing on the Accessibility for Ontarians with Disabilities Act (AODA). The course covers the methodology developed to automate the extraction of rules from the Act, identify compliance entities, and simplify access to legal information for the public. The teaching method involves a multi-stage analysis combining various NLP methodologies, including grammar refresher, NLP pipeline, parts of speech, spectrum embedding, KMeans, and TFIDF. This course is intended for data scientists, legal professionals, policymakers, and anyone interested in leveraging NLP to enhance the accessibility of legal information.