We present an information retrieval-based question answer system to answer legal questions. The system is not limited to a predefined set of questions or patterns and uses both sparse vector search and embeddings for input to a BERT-based answer re-r
anking system. A combination of general domain and legal domain data is used for training. This natural question answering system is in production and is used commercially.
