Artificial intelligence can complement human intellectual capabilities and mechanize laborious work. Numerous AI-powered products and services are now available to help lawyers analyze motions, recognize enhanced legal authorities, analyze documents and agreements (e.g., predictive coding), approximate costs, and predict outcomes. Most of the new organizations are focusing on destabilizing the legal sector, with some previously offering case management and forecasting services to the international arbitration community. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original Essay In the near future, artificial intelligence apparatuses will play a noteworthy role throughout the entire arbitration process. For example, it can support the drafting of proposed arbitration clauses, helping clients and lawyers identify blind spots and prove their interests. Parties could agree to use AI for some parts of the arbitration itself, such as discovery, to reduce costs. AI-powered products and services could also help lawyers complete cases better, for example by detecting inadequacies and mechanizing administrative responsibilities. Clients can also pre-select a legal team's suitability for a particular case (e.g. success rate, extent of prior experience, peer-reviewed ratings) and obtain a subsequent opinion on their legal team's analysis. The potential for disruption is enormous. While the primary technology of AI is still facing teething problems, its ability to increase the value of legal services while reducing costs and inadequacies should not be ignored. Artificial intelligence can similarly assist in the selection of arbitrators, the preparation of the award and the modeling of judicial review. Case management is computerized or significantly reorganized with the help of software, giving arbitrators more time to do what they do best: arbitrate. Rulings of longer awards (particularly investor-state arbitrations) could be automatically generated to help readers circumnavigate decisions. Court secretaries can be exchanged via AI-based decision support systems. While one day an artificially intelligent “referee” may direct a discussion. Ultimately, it will be up to the parties to hire such “machine arbitrators”. Like any disruptive invention, confidence will replace contemplation. Likewise, arbitration organizations can offer extra services powered by artificial intelligence. As noted above, in institutional arbitrations, case management can be computerized via software. AI can also be used to predict the costs, duration and, perhaps most ruthlessly, the merits of an arbitration. In order to facilitate rapid resolution of the dispute, arbitration institutions may, upon request of the parties, recommend varieties of resolution based on arbitrations of comparable size and difficulty. This can push the parties in the direction of settlement. Discretion will be preserved as party data would simply be used as training data (arbitration size, number of parties, duration, type of dispute, etc.) and anonymized for the rule set. to obtain the desired results. Parties will also profit from AI-based approvals on how.