We propose to approach the general problem of re-identification (not only for a specific domain) with knowledge graphs (ontologies). In a first step, you will construct knowledge graphs from both external data and court decisions. Then you will perform ontology alignment  to connect the two knowledge graphs (a big one from external data and a small one from the court decision to be re-identified). An anonymized node from the knowledge graph of the court decision being aligned to a node from the external data knowledge graph is a re-identification. In a last step, you will analyze the success of your system by measuring the recall and precision of the re-identifications.