To watch the full webinar, click here.
Your company has 50 AI use cases today. You'll have 200 next year. Your legal team isn't growing 4X.
So what breaks?
Here's what we're seeing across the industry: Companies are managing AI governance through Gmail threads, Slack channels, and endless spreadsheet tabs. Each new AI system triggers the same exhausting cycle—manual reviews, scattered documentation, and your legal team becoming the bottleneck while business units wait weeks for answers.
The math is brutal. If each AI review takes 10 hours and you're scaling from 50 to 200 systems, that's an additional 1,500 hours of legal work. And that's assuming nothing gets more complex (spoiler: it will).
Most organizations respond by trying to do more with less—asking overtaxed teams to work faster, cutting corners on reviews, or creating informal workarounds that introduce compliance risk. None of these solutions actually work.
The real issue isn't that you need more people. It's that you're treating a product problem like a process problem.
In this webinar, we break down why AI governance doesn't scale with traditional approaches, and reveal the three-step framework that leading organizations are using to handle 4x growth without 4x headcount:
The companies solving this aren't just working faster. They're working differently. They've built systems that identify which AI use cases need deep expert review versus which can be handled through automated workflows; protecting their team's time for the complex decisions that actually require human judgment.
If your AI governance process feels like it's already at capacity, next year is going to be painful. Unless you change how the system works.
Watch the full webinar to see how leading organizations are preparing for this scaling challenge.
