LexRubric: A Rubric-Guided Diagnostic Benchmark for Open-Ended Legal Tasks
cs.CL
Submitted: 2026-06-08
Updated: 2026-08-30
Comments: Accepted to EMNLP 2026 Main Conference
Code: https://github.com/foggpoy/LexRubric
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- SaulLM-7B: A pioneering Large Language Model for Law
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning
- HealthBench: Evaluating Large Language Models Towards Improved Human Health
- LEXam: Benchmarking Legal Reasoning on 340 Law Exams
- LegalOne: A Family of Foundation Models for Reliable Legal Reasoning
- GLM-5: from Vibe Coding to Agentic Engineering
- Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
- CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation
- CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
- Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions
- GPT-4 Technical Report
- LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain
- PLawBench: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice
- Kimi K2.5: Visual Agentic Intelligence
- CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
- Qwen3 Technical Report
- $OneMillion-Bench: How Far are Language Agents from Human Experts?
- DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
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