As corporate legal departments continue to implement AI, the conversation is shifting from experimentation to strategy. According to Thomson Reuters Institute‘s 2026 Corporate Legal Department Status Reportnearly half of legal departments now report department-wide AI adoption, making technology a top strategic priority for many general counsels.
While momentum is important, recruitment is not the only goal. The bigger question is whether legal teams are using AI in a way that supports the company’s broader business priorities.
So far, many legal departments have focused on the most immediate benefits of AI, such as faster investigations, faster contract reviews, and more efficient documentation. These usages make sense, especially in the early stages of implementation. But if success is measured solely by time savings or internal usage, legal leaders risk missing out on the greater value of AI. The real opportunity is not just to free up capacity within the legal department, but to deploy that capacity in ways that improve outcomes across the business.
Contract reviews are a great example. Faster delivery times are beneficial, but what business leaders care most about is whether legal support can help them close deals faster, improve closing rates, reduce revenue leakage, or avoid costly risks. These are the types of metrics that link AI legal strategy to business performance. This is still an emerging field, with fewer than 20% of law schools measuring the return on investment of AI at all, according to the report. That leaves plenty of room for legal teams to be more intentional about how they define and track success.
The most effective legal AI strategies therefore go beyond efficiency alone. They help you deliver better services, operate stronger, grow smarter, and better protect your business. For GCs, this means working more closely with other departments, aligning AI efforts with company goals, and building metrics that show legal impact from the perspective the business is already evaluating. While AI may start out as a legitimate technology investment, its long-term value will depend on how much it contributes to business performance. Click here to view the full report.
