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Legal interpretation and AI: from expert systems to argumentation and LLMs
π€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
- βAI and Law research has evolved through three distinct approaches to legal interpretation over time.
- βExpert systems focused on transferring human legal interpretations into consistent knowledge bases.
- βArgumentation research aimed to represent the structure and dialectical interactions of interpretive arguments.
- βMachine learning approaches now generate automated interpretive suggestions through language models.
- βLLMs are increasingly being deployed in actual legal practice for interpretation tasks.
#ai#legal-tech#expert-systems#argumentation#llm#legal-interpretation#machine-learning#knowledge-engineering#research
Read Original βvia arXiv β CS AI
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