Dyaсhenko Larisa Aleksandrovna (Postgraduate student,
SibFU School of Space and Information Technology, Siberian Federal University (SibFU)
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Manushkina Margarita Mihailovna (Candidate of Pedagogical Sciences, Associate Professor,
Department of Modern Educational Technologies, SibFU School of Pedagogy, Psychology, and Sociology, Siberian Federal University (SibFU).
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Krinitsin Pavel Gennadievich (Postgraduate student,
SibFU School of Space and Information Technology, Siberian Federal University (SibFU)
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Shuhratzoda Mirzoyunus (Postgraduate student, SibFU School of Space and Information Technology, Siberian Federal University (SibFU))
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The article is devoted to the development of a methodology for testing the suitability of software using neural network technologies for solving legal tasks. In particular, the article addresses the task of analyzing legal risks in contract conclusion within the activities of a commercial organization. The authors examine the relevance of applying artificial intelligence (AI) in legal practice, especially in the context of automating contract analysis and identifying potential risks. The article proposes a methodology that includes stages such as data loading, query formulation, and software effectiveness evaluation.
Keywords:legal activity, computer science, software, artificial intelligence, analysis of legal risks
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Read the full article …
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Citation link:
Dyaсhenko L. A., Manushkina M. M., Krinitsin P. G., Shuhratzoda M. METHODOLOGY FOR TESTING THE SUITABILITY OF SOFTWARE USING NEURAL NETWORK TECHNOLOGIES FOR SOLVING LEGAL TASKS: A CASE STUDY OF LEGAL RISK ANALYSIS IN CONTRACT CONCLUSION IN THE ACTIVITIES OF A COMMERCIAL ORGANIZATION // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№04. -С. 85-88 DOI 10.37882/2223-2966.2025.04.12 |
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