In this paper, we show how case-based reasoning (CBR) techniques can be applied to document retrieval. The fundamental idea is to automatically convert textual documents into appropriate case representations and use these to retrieve relevant documents in a problem situation. In contrast to Information Retrieval techniques, we assume that a Textual CBR system focuses on a particular domain and thus can employ knowledge from that domain. We give an overview over our approach to Textual CBR, describe a particular application project, and evaluate the performance of the system.