Abstract
The article describes a methodology for constructing networks of concepts related to legal documents and the subject area of “Information Law”. The methodology is based on the use of the artificial intelligence system ChatGPT and the Gephi network analysis and visualization program. The article demonstrates the possibility of constructing concept networks using ChatGPT, solving tasks that previously required large time and human resources. It shows how tools of intelligent text analytics and network analysis are integrated, as well as their visualization. The article proposes emulating multiple experts by repeatedly querying the ChatGPT system. The methodology can be applied to network analysis of documentary sources and the construction of subject area models.
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