Abstract: Described is a system and technique for identifying passages of legal precedent and assembling arguments that use this precedent. In embodiments, passages of judicial precedent are identified by taking advantage of a network of judicial citations. In embodiments, identified passages and relevant context from legal opinions are assembled into a synthetic argument that can be used to identify and/or predict relevant legal precedent. In embodiments, the system and technique may be used identify and/or predict precedent relevant to new arguments. The described the system and technique uses state-of-the-art natural language processing techniques, in particular transformer-based language models trained on a legal corpus, to identify and/or predict precedent relevant to a legal argument.