We demonstrate a human-centred explanation method for rule-based automated decision-making systems in the legal domain. This explanation method uses a graph database to enable question-driven explanations and multimedia display. This way, we can tailor the explanation to the user. We show the implementation of our explanation method in a real-world scenario at the Dutch Tax and Customs Administration.