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LLM agent developed for legal compliance assessment in Canada

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ComplianceAgent, an LLM-based sub-agent designed to assess legal compliance within a multi-agent framework called COMPASS. This agent evaluates texts across four dimensions: digital sovereignty, carbon impact, compliance, and ethics. It utilizes a large language model to score texts against a defined rubric, referencing a legal corpus and initiating self-healing rewrites, generating explainability reports, or escalating to human reviewers when scores fall below a critical threshold. The agent's architecture and memory organization are detailed, with an evaluation conducted in Canada and Quebec using thirteen legal instruments, including documents from the City of Trois-Rivières. AI

IMPACT This research demonstrates a specialized application of LLMs for complex legal analysis, potentially improving efficiency and accuracy in compliance checks.

RANK_REASON The item is a research paper detailing a novel LLM-based agent for legal compliance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM agent developed for legal compliance assessment in Canada

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The item is a research paper detailing a novel LLM-based agent for legal compliance. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Soukaina Alaoui Ismaili, Jean-Sebastien Dessureault ·

    An LLM-Based Agent for Legal Compliance Assessment: Architecture, Memory, and Evaluation in a Canadian and Quebec Context

    arXiv:2610.27347v1 Announce Type: new Abstract: Checking whether a text complies with a body of law is slow when done by hand and fragile when done with keyword rules. This paper presents ComplianceAgent, the legal compliance sub-agent of COMPASS, a multi-agent framework that eva…

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