We use machine-learning methods to study the features and origins of the ideas of Francis Bacon, a key figure who provided the intellectual roots of a cultural paradigm that spurred modern economic development. Bacon's works are the data in an estimation of a structural topic model, a recently developed methodology for analysis of text corpora. We provide the first quantitative evidence that the genesis of Bacon's epistemology lies in his experience in the common-law.