Argument Mining im Zivilprozess

Although digital text analysis has the potential to transform civil proceedings, research access to court documents is hindered by data protection, copyright and confidentiality restrictions. This dissertation presents the first systematic examination of an AI-supported analysis tool designed to relieve judges of the burden of time-consuming relational techniques. Drawing on previous argument mining research and the current state of legal scholarship on national and European data law frameworks, the author formulates concrete recommendations for the responsible secondary use of civil justice data. This is an indispensable work for judicial administrations, legal tech pioneers, policymakers, libraries and bookshops.