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Contract Review Multi-Agent System

Use Case Use Case Family: Personalization & Recommendation, GenAI, Automation, Chatbot, NLP, Agentic AI
Business Domain Business Domain: Procurement
Process Processes: Source-to-Contract
Challenge:

Contract review is a time-consuming and error-prone process. Legal teams must manually analyze hundreds of pages to detect compliance risks, missing clauses, or ambiguous terms. The complexity increases with multi-jurisdictional contracts, regulatory updates, and varying contract structures. The manual approach often leads to delays, missed risks, and higher legal costs.

Solution:

A Multi-Agent AI System automates contract review by using specialized AI agents:

  • NLP Agents: Extract key clauses, detect inconsistencies, and flag missing provisions.
  • Risk Scoring Agents: Assess contract terms for compliance, financial risks, and liability exposure.
  • Legal Knowledge Agents: Continuously update contract assessments based on legal changes and best practices.
  • Negotiation Support Agents: Suggest optimized contract modifications based on historical successful agreements.

 

The system enables automated risk detection, contract validation, and intelligent clause recommendations. AI can cross-reference legal databases to ensure compliance with industry regulations.

Benefits:

Multi-Agent AI significantly reduces contract review time, lowers legal risks, and ensures compliance with minimal human effort. It provides real-time contract risk insights, allowing legal teams to focus on complex negotiations instead of repetitive reviews. The system also improves contract standardization and negotiation efficiency, leading to faster deal closures and reduced operational costs.

Target Group Target Group:
Legal Teams Procurement Managers
Potential Industries Potential Industries:
Finance Healthcare Manufacturing
Low Risk
Low Risk systems Art. 50 (1)
with transparency obligations
Disclaimer The information provided regarding the risk assessment is without guarantee. The complete classification of a use case according to the EU AI Act depends on numerous regulatory and company-specific factors. Therefore, the risk assessment is always case-specific. The risk assessment logic of Casebase is used for this purpose.