NEOPOLIS AKADEMY
Multi-agent system for contract review and regulatory compliance
Advanced lab to orchestrate a multi-agent system for contract review and regulatory compliance. Combines n8n, models (GPT-4o), regulatory APIs and channels (Slack, Sheets) to distribute analysis, summarisation and escalation to humans.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Design of a multi-agent architecture with roles for extraction, classification, regulatory review and summarisation.
Integrations include a Regulatory API for external rules, GPT-4o for reasoning, n8n orchestration and Slack/Sheets for reporting.
Flows include escalation, human verification and false-positive handling, demonstrated on fictional datasets.
STEP BY STEP
Course programme
01Multi-agent system for contract review and regulatory compliance
Design of a multi-agent automated system for contract review and regulatory compliance. Combines orchestration (n8n), language models (GPT-4o) and a regulatory API to detect obligations, run checks, and route findings via Slack and Sheets.
This practical exercise explains how to architect a multi-agent system for contract review and regulatory compliance: analysis, alerting and orchestration agents.
It uses n8n for workflows, GPT-4o for text understanding and a regulatory API to map checks to applicable obligations.
Steps include environment preparation, incremental agent development and a security checkpoint to protect data confidentiality and integrity.
Target audience: legal operations seniors, compliance officers and risk managers aiming to automate detection and routing of issues; the description focuses on methodology, not on certified outcomes.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page