Artificial inteligence – legal challenges and risks

Kambovski, Igor (2025) Artificial inteligence – legal challenges and risks. In: The XIV Scientific conference on the occasion of the day of the Faculty of law “Law: cause or effect“, 25 Oct 2025, Pale, Republic of Srpska.

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Abstract

The development and application of Artificial Intelligence (AI) in legal practice represent one of the most significant technological challenges of the mod-ern era. Its primary advantage lies in the ability to automate legal processes that would otherwise require substantial time and resources. However, this technologi-cal advancement simultaneously raises numerous legal, ethical, and social issues, particularly in the context of contract law and decision-making responsibility. Ar-tificial Intelligence can assist in identifying errors, inapplicable clauses, and legal inconsistencies, yet it still lacks the ability to properly interpret the intentions and will of the contracting parties—an essential element of legal interpretation. Fur-thermore, the lack of transparency in algorithmic functioning creates the risk of discriminatory or inadequate decisions, whose origin is often difficult to determine. Although AI contributes to greater efficiency in drafting legal documents, accelerates the analysis of legal acts, and enables faster legal research, the com-plete replacement of human input in the legal field remains impossible. Human capacity for abstract reasoning, ethical judgment, and understanding of complex social relationships remains irreplaceable. The future of the legal profession should not be viewed as a confrontation between humans and artificial intelli-gence, but rather as a process of responsible and balanced cooperation. Lawyers who master the use of AI tools will be more competitive and successful, and their ability to critically assess AI-generated outcomes will become a key professional skill in the near future.

Item Type: Conference or Workshop Item (Paper)
Subjects: Social Sciences > Law
Divisions: Faculty of Law
Depositing User: Igor Kambovski
Date Deposited: 27 Jan 2026 12:37
Last Modified: 27 Jan 2026 12:37
URI: https://eprints.ugd.edu.mk/id/eprint/37311

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