The aim of this work is to propose a holistic description of terminological units in the field of Internet law, based on a hybrid model that reflectis both the linguistic and the conceptual dimension of terms. To be more precise, this model aims to point out the lexical-semantic relationships and conceptual links that those terms maintain with other terminological and lexical units belonging to the Internet law vocabulary, by studying their behavior in the discursive universe. The project (which we call DITerm) is part of a descriptive approach whose ambition is to explain observed usage in the specialized language at hand. The model was created using acorpus made up of legal texts which totals about 5 000,000 words. The model will be used as the basis for the conception of a specialized encoding dictionary. This dictionary is intended for translators with French language as their working language. The term, as it is viewed in this study, is a multi-dimensional unity which should be considered from many angles. Its description is hence based on the analysis of its lexical, conceptual and contextual relationships which is widely inspired by lexicographical models. Thetheoretical background of the DITerm project is Explanatory and Combinatorial Lexicology, the lexicological component of Meaning-Text Theory (Mel’čuk et al. 1995). We also draw inspiration from the frame theory and its different applications (Minsky’s Frame System Theory,Fillmore’s Frame Semantics). The methodology adopted in this project fits into the framework of corpus linguistics (Sinclair).The DITerm model proposes to describe each term as the center of a constellation around which several coordinated terms gravitate, creating what Cornu (2002) calls operational families. In order to model the relationships the term shares with the units which tend to appear in its contextual universe, we rely on several explicit formulas based on a broadly comprehensible metalanguage. This formalism, which is based on paraphrase, correlates partly with the popularization of the lexical functions. On the other hand, it has the advantage of adapting to the representation of conceptual links. In addition, the description is enriched by the implementation of an annotation model of the contexts in which the terms occur, which makes it possible to account for indirect links that are maintained by terms. This annotation model is an application of the FrameNet methodology.