Legal Tech in arbitration proceedings: Legal framework for the use of algorithms, in particular self-learning algorithms

The dissertation examines the possibilities and limitations of algorithmic systems in arbitration from a procedural law perspective, particularly in light of the provisions of the Code of Civil Procedure regarding arbitration. A special focus is placed on learning algorithms. The thesis distinguishes between the conduct of arbitration proceedings directly by algorithms and the use of algorithms to support arbitrators. It further develops the requirements that should be imposed on algorithms, depending on their specific applications. Central challenges arise from the lack of transparency in algorithmic decision-making, particularly regarding the need to safeguard the independence of the arbitrator, ensure the right to be heard, and maintain the principle of equal treatment of the parties.