How Generative AI Assists in CLM

Managing contracts efficiently can be a daunting task, especially as the volume and complexity of agreements grow. Contract Lifecycle Management (CLM) involves a range of processes, from data migration and clause analysis to risk assessment and approval workflows. As organizations seek to streamline these processes, Generative AI has emerged as a powerful tool, automating critical steps in the CLM journey. By leveraging AI, businesses can reduce manual errors, accelerate contract processing, and ensure compliance,all while freeing up resources for more strategic tasks. In this insight, we’ll explore how Generative AI is transforming key aspects of CLM, making it a must-have solution for modern enterprises. Contract Data Migration Migrating data from legacy systems into new contract management platforms is daunting and error-prone. With Generative AI, businesses can automate the extraction, cleansing, and structuring of contract data. AI can intelligently identify and extract key contract components such as terms, clauses, parties, and obligations from scanned documents or older formats, ensuring accurate and seamless data migration. Using natural language processing (NLP), AI tools can also group similar contracts and streamline the migration process. Benefits:

• Reduces manual effort and errors
• Speeds up data migration
• Ensures accuracy and completeness

Clause Analysis

Contracts are composed of numerous clauses that require careful analysis to ensure compliance, consistency, and risk mitigation. Generative AI can help legal teams analyze large volumes of contracts and flag any inconsistent provisions with company policies or best practices. AI-powered tools can compare clauses across various contracts and suggest improvements or highlight discrepancies that require attention. Benefits:

• Accelerates clause review and analysis
• Enhances consistency and compliance
• Identifies potential risks or deviations from standard clauses

Contractual Risk Assessments

Risk assessment is vital to the contract lifecycle, especially in heavily regulated industries prone to litigation. Generative AI can analyze contracts for potential risks by identifying problematic language, ambiguous terms, and unfavorable clauses. AI can also suggest risk mitigation strategies, such as adding or revising new clauses to ensure the contract aligns with the company’s risk tolerance. Benefits:

• Identifies contractual risks early
• Provides insights into risk mitigation strategies
• Ensures compliance with regulatory and industry standards

3rd Party Paper Review

Reviewing third-party contracts (often referred to as “third-party paper”) is time-consuming and can involve comparing the terms and conditions against a company’s preferred standards. Generative AI can automate the review of third-party contracts, comparing them to internal guidelines and highlighting any clauses or language that deviate from the organization’s norms. This can speed up negotiations and ensure that unfavorable terms are flagged for revision. Benefits:

• Speeds up third-party contract reviews
• Ensures alignment with internal standards
• Reduces the risk of accepting unfavorable terms

Contract Approval Process

One of the most time-consuming aspects of contract management is the approval process, which often involves multiple stakeholders. Generative AI can streamline this process by automating the routing of contracts to the appropriate approvers based on predefined rules or historical approval patterns. AI can also monitor the approval process to ensure contracts get on track, reducing delays and improving efficiency. Benefits:

• Automates contract routing to the right stakeholders
• Reduces bottlenecks in the approval process
• Improves overall contract turnaround time

Monitoring the Contract Life Cycle

Once a contract is signed, careful monitoring is required to meet obligations and deadlines. Generative AI can help organizations track important contract milestones, such as renewal dates, payment schedules, and performance obligations. Using predictive analytics, AI can alert contract managers to potential issues before they escalate, such as approaching deadlines or unmet obligations, ensuring that no contract falls through the cracks. Benefits:

• Automates monitoring of contract milestones
• Provides real-time alerts for critical events
• Ensures compliance and timely execution of obligations

Conclusion

Generative AI is not just a futuristic concept; it is already making significant inroads into Contract Lifecycle Management. By automating critical processes like data migration, clause analysis, risk assessments, and contract approvals, AI allows businesses to focus on strategic decision-making while ensuring that contracts are managed efficiently and effectively. The future of CLM lies in harnessing the power of AI to reduce risks, improve compliance, and accelerate contract processing, making it a critical tool for businesses looking to stay competitive. With Generative AI, the CLM process becomes more streamlined, reliable, and adaptable, ensuring that organizations can easily meet their contractual obligations.