In this paper an approach to legal rules modelling based on a semantic model for legislation and oriented to knowledge reusability and sharing is presented. An automatic methodology able to support rules learning is proposed as well: it is based on techniques of knowledge extraction from legislative texts. This combined approach is aimed at giving a contribution to bridge the gap between consensus and authoritativeness in legal knowledge representation.