mlsanityData to 7 Oct 2026

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts

arXiv 2412.11063 ↗First posted 15 Dec 2024cs.AI cs.CL cs.SEcited by 6

On the map: LLM agents and tool use → Social simulation and multi-agent debate

Abstract (arXiv)

Legal contracts in the custody and fund services domain govern critical aspects such as key provider responsibilities, fee schedules, and indemnification rights. However, it is challenging for an off-the-shelf Large Language Model (LLM) to ingest these contracts due to the lengthy unstructured streams of text, limited LLM context windows, and complex legal jargon. To address these challenges, we introduce LAW (Legal Agentic Workflows for Custody and Fund Services Contracts). LAW features a modular design that responds to user queries by orchestrating a suite of domain-specific tools and text agents. Our experiments demonstrate that LAW, by integrating multiple specialized agents and tools, significantly outperforms the baseline. LAW excels particularly in complex tasks such as calculating a contract's termination date, surpassing the baseline by 92.9% points. Furthermore, LAW offers a cost-effective alternative to traditional fine-tuned legal LLMs by leveraging reusable, domain-specific tools.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 24 of its 37 references that are in the map. First posted on arXiv 15 Dec 2024.

Builds on

24 of 37 references.

References · 24

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12 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 3.

6 papers.

  1. 2025A Survey on Current Trends and Recent Advances in Text Anonymizationcited by 5
  2. 2026LLM Agents in Law: Taxonomy, Applications, and Challengescited by 5
  3. 2026When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMscited by 5
  4. 2025QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewritingcited by 1
  5. 2025GRAPH-GRPO-LEX: Contract Graph Modeling and Reinforcement Learning with Group Relative Policy Optimizationcited by 1
  6. 2026No One Size Fits All: QueryBandits for Hallucination Mitigationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026ContractScrub: A benchmark for final review of legal contracts
  2. 2024LegalAgentBench: Evaluating LLM Agents in Legal Domain
  3. 2026Parthenon Law: A Self-Evolving Legal-Agent Framework
  4. 2025LawFlow: Collecting and Simulating Lawyers' Thought Processes on Business Formation Case Studies
  5. 2025An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software
  6. 2025Better Call CLAUSE: A Discrepancy Benchmark for Auditing LLMs Legal Reasoning Capabilities
  7. 2025MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoning
  8. 2026NyayaAI: An AI-Powered Legal Assistant Using Multi-Agent Architecture and Retrieval-Augmented Generation