Abstract. A model of a legal document of the “contract” type is built and used as the basis of a system developed for legal expertise automation. The existing methods of automatic processing of texts of legal documents are analyzed, their specificity is determined. To accomplish the task, an associative-ontological approach is used, and methods of text summarization are applied. To simplify the legal examination, the text of the agreement is presented in the form of a non-strict sequence of text blocks, each of which reflects a semantic load independent of other blocks. The problem of highlighting typical sections from the text, described by means of a set of mandatory and variable blocks in the order of their placement in the contract, is considered. A system for the text blocks selection is been developed based on the methods of summarization and associative-ontological representation of sentences. An algorithm for correlating sentences or their parts to one of standard blocks is proposed. The resulting model is planned to be used for processing agreements of the "consent to the processing of personal data" type.

Keywords: automated text processing, legal tech, legal expertise, text compliance, text summarization

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