Abstract
Fragmentary digital models of society and its legal life have already been created and used, including the ones used unconsciously and haphazardly. Improving the efficiency and reducing the level of budget, corporate and personal costs associated with the implementation of legal should be one of the goals of the "digital" legal policy. The authors investigate some applied aspects of developing digital models of law enforcement (in particular, the rules of forming the forecast of social and legal reality indicators). Successful digitalization of legal regulation, according to the authors, is impossible without building correct quantitative mathematical models using methods of both theoretical and empirical modeling. The article formulate recommendations for building stochastic models that allow to use the mathematical apparatus of the probability theory. It substantiates the expediency of using probabilistic values as quantitative indicators of such models. It identifiers the main directions of practical implementation of the proposed approaches. Such directions, in particular, include ensuring transition of rule-making practice from an intuitive assessment of the effectiveness of the projected legislation to a computational assessment based on preliminary mathematical modeling of the projected norms and their applications.
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