Loom Analytics is a Toronto based legal-tech company. Loom has built a SaaS legal analytics system that provides a graphical and tabular representation of data embedded in court decisions. Loom’s system is a data-driven legal research assistant that finds, classifies, and sorts case law for you, making the process of case law research smarter, faster, and more robust. Using a combination of legal analysis and machine learning, Loom provides hard numbers on case law: win/loss rates, judge ruling histories, litigation trends over time. Through this project, Loom Analysis will collaborate with Sean Guadron and student research assistants from Seneca’s School Creative Arts and Animation (CAA) to simplify Loom’s complex legal search engine, while improving and maintaining its advanced features. Implementation of a new user experience (UX) and user interface (UI) design, based on client/user feedback, will make it more intuitive and user friendly, something demanded by its current and potential customers.
Funder: Natural Sciences and Engineering Research Council of Canada (NSERC).
