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February 2, 2026Discover Artificial IntelligenceOpen Access

Challenges for generative AI in legal reasoning

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Authors

ELEljas LinnaTLTuula Linna

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Overview

Highlights challenges generative AI faces in legal reasoning, suggesting pathways for improvement in decision-making.

Key Points

  • This research investigates the critical challenges faced by generative AI in legal reasoning within judicial contexts.
  • Introduced examples of challenges in using AI for legal reasoning.
  • Deconstructed core requirements for AI functionality in law.
  • Mapped AI enhancement mechanisms to identified legal challenges.
  • Proposed an evaluation framework for legal obligations.
  • Identified that AI can address some narrow legal challenges but struggles with significant tasks requiring discretion.
  • Demonstrated that existing technologies can efficiently handle simpler legal cases.
  • Highlighted the need for ongoing investment in advanced AI methods to manage complex legal reasoning.

Cite This Study

Linna et al. (2026) studied this question.

synapsesocial.com/papers/6980fe7cc1c9540dea81087chttps://doi.org/10.1007/s44163-026-00902-3
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  1. 1AI-Driven Statutory Reasoning via Software Engineering Methods2024
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  3. 3Operational and Inferential Challenges in Legal AI Systems2026
  4. 4A review of the applications and tasks of large language models in the legal field2026
  5. 5Thinking Like a Lawyer in the Age of Generative AI: Cognitive Limits on AI Adoption Among Lawyers2025