A central issue in the establishment of legal automation in public administration concerns the transformation of legal information into digital environments. In this context, regulation of automated decision-making (ADM), machine learning (ML), and artificial intelligence (AI) give rise to several key questions. Legal implications of algorithms of different kinds call for special attention. One distinction to be made has to do with general algorithms on the one hand and (case) specific ones on the other. Often, but not always, transformation of open texture in law (primarily vague and ambiguous concepts) results in legal steering mechanisms resembling what may be referred to as code in a normative way. Furthermore, the rule of law requires awareness of the kind of consequences that come with so-called dynamic (changeable) algorithms, as opposed to the static ones. To a considerable extent, societal development boils down to a quest for proactive law as a supplement to traditional preventive law. Legal infrastructures need to be considered at early stages of system design, development, implementation, and management.