The Three Questions to Ask Before Your Next AI Demo

Key Takeaways

• Define a clear business problem before evaluating AI tools
• Ensure data, workflows, and governance are ready for AI integration
• Assign a dedicated owner to drive AI adoption post‑implementation
• Shift vendor discussions from capability to organizational readiness for value

Pulse Analysis

Law firms are witnessing a surge of AI demonstrations that promise to condense weeks of document review into seconds. While these showcases highlight impressive speed and sophistication, they often mask the underlying operational challenges firms must address. Executives who focus solely on the technology’s flash risk launching pilots that look good on paper but stumble when confronted with fragmented data stores, inconsistent naming conventions, and siloed workflows.

The first step toward successful AI adoption is articulating a precise business problem. Instead of asking, “Can AI draft documents?” firms should ask, “How can we cut the time to produce first‑draft deposition summaries by 30%?” This outcome‑oriented framing forces teams to identify repetitive, structured tasks and set measurable success criteria. Equally critical is confirming that the necessary processes and data are in place; AI cannot compensate for chaotic document management or undefined ownership of workflow steps. A clean, repeatable process provides the foundation on which AI can add value.

Finally, sustainable adoption hinges on clear ownership. Selecting a vendor is only the beginning; a dedicated champion must oversee training, governance, risk monitoring, and continuous improvement. Law firms that embed AI within an operational framework—assigning responsibility, establishing metrics, and aligning the technology with strategic goals—are the ones turning demos into tangible cost savings and competitive advantage. This readiness‑first approach is rapidly becoming the benchmark for legal departments seeking to harness AI’s full potential.