This paper considers the adoption of computational techniques within research designs modeled after the extended case method. Echoing calls to augment the power of contemporary researchers through the adoption of computational text analysis methods, we offer a framework for thinking about how such techniques can be integrated into quasi-ethnographic workflows to address broad, structural sociological claims. We focus, in particular, on how this adoption of novel forms of evidence impacts corpus design and interpretation (which we tie to matters of casing), theoretical elaboration (which we associate to moving empirical claims across scales and empirical domains), and verification (which we see as a process of reflexive scaffolding of theoretical claims). We provide an example of the use of this framework through a study of the marketization of social scientific knowledge in the United Kingdom.