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September 10, 2025

Research and Development towards Advancing Legal AI

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Authors

LQLi QuBeijing Information Science & Technology University

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Implication

Research explores the limitations of large language models in law, indicating the need for improved legal citations and analysis.

Key Points

  • Legal AI systems struggle with accurately identifying legal issues, leading to challenges in legal reasoning.
  • Preliminary findings show that evaluating AI-generated legal responses presents unique challenges due to multiple valid conclusions.
  • The research focuses on enhancing OpenJustice with a structured system prompt for improved legal principles analysis.
  • Collaboration with engineering aimed to create dialogue flows that mimic attorneys' reasoning processes in legal discussions.

Cite This Study

Li Qu (2025) studied this question.

synapsesocial.com/papers/68c183f89b7b07f3a060fbb3https://doi.org/10.24908/iqurcp19907
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A review of the applications and tasks of large language models in the legal field2026
  2. 2Large language models in judicial assistance: Empirical insights and domain-specific fine-tuning2026 · 1 citations
  3. 3Challenges for generative AI in legal reasoning2026 · 6 citations
  4. 4Evaluating AI for Law: Bridging the Gap with Open-Source Solutions2024 · 1 citations
  5. 5Artificial Intelligence and Machine Learning in Legal Research: A Comprehensive Analysis2024 · 15 citations