RAG-Based Legal Research Assistant for Finding Similar Past Cases

This paper presents the design, architecture, and evaluation of a Retrieval-Augmented Generation system that assists new legal assistants in locating connected and similar past cases for new filings. The solution addresses Job 1, Legal Assistant, and leverages a curated Knowledge Base of 10 structured research session logs spanning five practice areas at a fictional law firm. Generative AI is assessed as capable of handling approximately 80 percent of the task, with the remaining 20 percent requ