LabourCrew: A Multi-Agent RAG Framework for Trustworthy Adversarial Deliberation and Statutory Reasoning over Labour Law

arXiv:2609.27814 · cs.CL, cs.AI, cs.IR · Submitted 2026-08-18 · Read on arXiv

cs.CL, cs.AI, cs.IR

Submitted: 2026-08-18

Updated: 2026-08-18

Terminology

• RAG — 26× in this paper · explained in 3 episodes
• Calibration — 16× in this paper · explained in 7 episodes
• Grounding — 16× in this paper · explained in 3 episodes
• Ablation — 15× in this paper · explained in 1 episode
• Verification — 15× in this paper · explained in 2 episodes
• Trace — 12× in this paper · explained in 2 episodes
• Evidence Exchange Protocol — 11× in this paper
• Benchmark — 8× in this paper · explained in 2 episodes
• Hallucination — 8× in this paper · explained in 3 episodes
• Multi-hop Reasoning — 7× in this paper · explained in 3 episodes
• Abstention — 4× in this paper · explained in 1 episode
• Provenance — 4× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Agentic Retrieval — 3× in this paper · explained in 1 episode
• Fidelity — 3× in this paper · explained in 2 episodes
• Formal Case Ledger — 3× in this paper
• Multi-Agent System — 3× in this paper · explained in 6 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Commentary — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Self-consistency — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstention mechanism — 1× in this paper · explained in 1 episode
• Agentic Search — 1× in this paper · explained in 1 episode
• Exchangeability — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Systematic Bias — 1× in this paper · explained in 3 episodes
• Trustworthy Grounded Legal Opinion — 1× in this paper
• Verifiability — 1× in this paper · explained in 2 episodes

Sources

• Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
• Conformal Risk Control
• Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
• LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
• Improving Factuality and Reasoning in Language Models through Multiagent Debate
• LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
• Retrieval-Augmented Generation with Graphs (GraphRAG)
• CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
• MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoning
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools
• Language Models with Conformal Factuality Guarantees
• Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
• ReAct: Synergizing Reasoning and Acting in Language Models
• L-MARS: Legal Multi-Agent System with Agentic Search and Citation-Faithfulness Audit

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering