Sarah Tyler

Implementing contract automation in a legal environment requires methodical planning that balances technological capabilities with organizational realities. Too many legal departments rush into CLM platform selection without establishing the foundational elements that determine whether automation will enhance or complicate contract operations. This comprehensive checklist walks through every critical decision point, from initial assessment through post-implementation optimization, with specific rationale for why each step matters and what happens when organizations skip ahead. The checklist reflects lessons learned across dozens of implementations, where success depended less on selecting the most feature-rich platform and more on systematic preparation, stakeholder alignment, and workflow design that respects how legal teams actually work. Contract Management Automation delivers transformative results when implemented thoughtfully, but creates expensive complexity when rushed. Use th...

Implementing artificial intelligence in a legal practice demands more than enthusiasm and budget—it requires systematic planning across technology, operations, ethics, and change management. Whether you're a general counsel considering AI for your corporate legal department or managing partner evaluating options for your firm, the complexity can feel overwhelming. Over hundreds of implementations across practices ranging from boutique IP firms to multinational litigation powerhouses, a clear pattern emerges: successful deployments follow a structured approach while failures typically skip critical steps in their rush to realize benefits. This comprehensive checklist distills those lessons into actionable items, each with the rationale explaining why it matters for sustainable AI adoption. The legal industry's adoption of artificial intelligence has accelerated dramatically, driven by client pressure for cost reduction, competitive intensity, and the technology's proven capa...

Implementing AI Contract Management technology represents a significant investment and organizational change initiative. Success requires methodical planning, careful execution, and attention to dozens of critical details that span technology, process, people, and data considerations. Organizations that approach implementation with a comprehensive checklist dramatically increase their likelihood of on-time, on-budget deployment while avoiding common pitfalls that derail projects or limit value realization. This definitive checklist synthesizes best practices from successful implementations across industries and organizational sizes. The complexity of AI Contract Management implementation extends far beyond software installation. It touches legal processes, data governance, system integration, change management, and ongoing optimization. Each phase demands specific preparation, and overlooking seemingly minor items can create cascading problems that compromise the entire initiative. Th...