Abstract The aim of Knowledge Management is to systematically create, maintain and distribute intellectual capital. To analyse numerical or structured data, techniques like “online analytical processing” and data mining methods are used. However, a lot of existing corporate information like manuals, guidelines, patents and project documentation is captured in textual, i.e. unstructured, form. Specific requirements for mining such textual data were analysed and reviewed and an according tool “DocMINER” was developed and evaluated. Using an example session with project documentation from the process engineering domain its features and usage are described and its potential to lower the necessary effort during typical work steps are demonstrated.