European Union legislators, CJEU judges and EU law scholars have produced streams of texts which determine both what EU law is and how it is perceived. We explore what these distinct “voices” tell us about the EU’s legal and policy priorities using a mega corpus compiling more than 200,000 legislative acts, 55,000 court rulings and opinions, and 4,000 articles from a leading EU law journal. Applying an unsupervised machine learning technique known as probabilistic topic modelling, we find that economic integration remains the focus of EU law, but that scholars tend to emphasize rights issues more and ignore certain topics, such as farming regulations, almost entirely. The relationship among these partly interdependent, partly autonomous voices, we suggest, can be conceptualized in terms of co-evolution. Legislation influences issue attention on the CJEU, which, in turn, influences what law professors choose to write about.