Sarah Tyler

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...

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...