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🧠 AIβšͺ NeutralImportance 4/10

Legal interpretation and AI: from expert systems to argumentation and LLMs

arXiv – CS AI|V\'aclav Jane\v{c}ek, Giovanni Sartor|
πŸ€–AI Summary

This research paper examines how AI and Law research has evolved in approaching legal interpretation through three main methodologies: expert systems for knowledge engineering, argumentation frameworks for assessing interpretive claims, and machine learning models including LLMs for automated legal argument generation.

Key Takeaways
  • β†’AI and Law research has evolved through three distinct approaches to legal interpretation over time.
  • β†’Expert systems focused on transferring human legal interpretations into consistent knowledge bases.
  • β†’Argumentation research aimed to represent the structure and dialectical interactions of interpretive arguments.
  • β†’Machine learning approaches now generate automated interpretive suggestions through language models.
  • β†’LLMs are increasingly being deployed in actual legal practice for interpretation tasks.
Read Original β†’via arXiv – CS AI
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