Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents

arXiv:2505.14104 · cs.CL · Submitted 2025-05-20 · Read on arXiv

cs.CL

Submitted: 2025-05-20

Updated: 2026-08-27

Terminology

• Legal Rule Induction — 20× in this paper
• Benchmark — 9× in this paper · explained in 2 episodes
• Adam — 7× in this paper · explained in 2 episodes
• Verification — 7× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Hallucination — 6× in this paper · explained in 3 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Clustering — 4× in this paper · explained in 2 episodes
• Abstraction — 3× in this paper · explained in 1 episode
• F1 Score — 3× in this paper · explained in 3 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• China Judgments Online — 2× in this paper
• Generalizability — 2× in this paper · explained in 6 episodes
• LoRA Fine-Tuning — 2× in this paper · explained in 3 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Edge AI — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• GPT-4 Technical Report
• Can GPT-3 Perform Statutory Reasoning?
• Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture
• A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• DeepSeek-V3 Technical Report
• LawBench: Benchmarking Legal Knowledge of Large Language Models
• Large Language Models Are Not Strong Abstract Reasoners
• LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
• Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
• LoRA: Low-Rank Adaptation of Large Language Models
• GPT-4o System Card
• OpenAI o1 System Card
• Improving Similar Case Retrieval Ranking Performance By Revisiting RankSVM
• Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
• Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
• Large Language Models: A Survey
• Large Language Models as General Pattern Machines
• BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
• Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement

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