Can computer programs resolve legal disputes? For decades, the answer from much of the legal community has been no. However, developments in artificial intelligence (AI), and in particular natural language processing and machine learning, have led to renewed discussions of this possibility. Increasingly, tools are being developed to assist parties with litigation outcome prediction and judges with litigation outcome determination. However, while some argue that the use of AI in legal disputes can reduce the length of proceedings, cut costs, and improve access to justice, others raise concerns that “black box” AI systems could reduce transparency, entrench bias, and harm the development of the law. Litigation Outcome Prediction The use of computers to predict the outcome of legal cases is not new. As early as the 1980s, researchers developed outcome prediction tools, often in the form of decision-tree algorithms. However, developments in AI have allowed the creation of more sophisticated prediction models. In 2017, a model built by Katz et al. predicted US Supreme Court decisions with an accuracy of 70.2%, while in 2019, a model built by Medvedeva et al. predicted decisions of the European Court of Human Rights with an accuracy of 75%. In various studies, AI tools have been able to predict case outcomes more accurately than expert lawyers. Companies such as Solomonic and Lex Machina, owned by LexisNexis, now provide commercial litigation prediction and analytics tools. Outcome prediction tools can be used by parties and their legal representatives to craft arguments and facilitate settlement negotiations, or by third-party litigation financers to assess the risk of providing funding. More broadly, outcome prediction may be used by the likes of insurance companies to help calculate claim payouts. However, those using such tools must take care to ensure that they do not breach any professional or legal obligations.