AI is capable of supplementing human intellectual capabilities and mechanizing laborious work. A large number of AI-based products and services are now available to help lawyers analyze submissions, recognize enhanced legal authorities, analyze documents and agreements (e.g., predictive coding), estimate costs and predict results. The majority of new organizations are focused on disrupting the legal sector, with a few 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 Should Not Be Banned”? Get an Original Essay In the near future, AI devices will play a remarkable role throughout the arbitration process. For example, it can approve proposals for drafting arbitration clauses, helping clients and lawyers identify blind spots and protect their interests. Parties could agree to use AI for certain parts of the arbitration itself, for example discovery, to reduce costs. AI-based products and services could also help lawyers do business better, for example by detecting inadequacies and mechanizing administrative responsibilities. Clients can also pre-screen the suitability of a legal team for a particular case (e.g. success rate, breadth of prior experience, peer-reviewed reviews) and obtain subsequent feedback on their team's analysis legal. The potential for disruption is enormous. Although primary AI technology still faces teething problems, its ability to increase the value of legal services while reducing costs and inadequacies should not be ignored. AI can also help with the selection of arbitrators, the preparation of the award and the model. of judicial control. Case management is computerized or significantly reorganized using software, giving arbitrators more time to do what they do best: arbitrate. Decisions from longer awards (particularly those from investor-state arbitrations) could be automatically generated to help readers navigate the decisions. Court secretaries can be replaced by AI decision support systems. So that one day, an AI “referee” will be able to manage an argument. Ultimately, it will be up to the parties to hire such “machine arbitrators”. Like any revolutionary invention, trust will be the priority. Arbitral organizations can also offer additional services powered by artificial intelligence. As noted above, in institutional arbitrations, case management can be computerized by software. AI can also be used to predict the costs, duration and, perhaps most ruthlessly, the merits of an arbitration. In order to ensure a rapid resolution of the dispute, the arbitration institutions may, at the request of the parties, recommend methods of settlement based on arbitrations of comparable size and difficulty. This can push the parties toward a settlement. Discretion will be preserved since the parties' data will simply be used as training data (size of the arbitration, number of parties, duration, type of dispute, etc.) and anonymized for all rules. to achieve the desired results. Parties will also benefit from AI-based recommendations on how to resolve their dispute in elusive ways, such as whether to use a.