Sarah Tyler

Corporate law firms and in-house legal departments handling high-volume procurement matters face mounting pressure to deliver faster turnarounds, deeper analytical insights, and lower costs without compromising quality or regulatory compliance. The traditional approach—scaling headcount proportionally with matter volume—is increasingly untenable given margin pressures and client expectations for efficiency. Implementing artificial intelligence in procurement workflows offers a proven path forward, but successful deployment requires systematic planning and disciplined execution. Having guided multiple corporate law practices through AI adoption for vendor management, contract review, and procurement due diligence, I've observed that the difference between transformative success and expensive failure typically comes down to preparation thoroughness and implementation discipline. This comprehensive checklist distills lessons from over two dozen AI in Procurement Operations implementa...

Managing contracts effectively is a cornerstone of successful business operations. Contract Lifecycle Management (CLM) integrates essential processes such as drafting, negotiation, approval, and renewal into a cohesive framework. Facilitating these processes through intelligent automation can yield substantial benefits in terms of efficiency and compliance. Below, I present a comprehensive checklist for optimizing your CLM approach, punctuated with rationale for each element. As organizations look to improve their workflows, incorporating Contract Lifecycle Management practices through automation can effectively streamline contract-related tasks, ensuring enhanced control over agreement administration and alignment with business goals. Checklist for Implementing Effective CLM Automation Map Current Processes: Identify existing workflows to pinpoint inefficiencies. Understanding the landscape of your current contract management is vital to effectively design a solution that addresses ...