Scaling AI in a growing company is about more than just tools. It’s also about how people adapt, how fast things move, and how real the use cases are.
Stephen Doherty is Chief of Technology at legal tech company Kuberno. He joined Crafty Counsel for a walk and talk to share three key lessons from scaling AI inside a fast-moving business.
1. Scaling AI Starts with the Right Language Models
Large language models are powerful. But Stephen says it’s not just about using them—it’s about using them well.
At Kuberno, these models help legal teams surface data quickly. They allow users to ask a question and get useful results fast. This turns information into insight.
As a result, people can spend less time digging through systems, and more time focusing on what matters.
2. The Pace of Change is Relentless
Scaling AI means staying flexible. New tools and updates arrive quickly—often faster than expected.
Stephen explains that what worked last month may already be out of date. For example, Kuberno moved from simple prompt flows to more advanced modular systems in a short time.
Because of this, having the right partnerships—like Kuberno’s with Microsoft—is crucial.
3. Scaling AI Brings Real, Everyday Value
AI is no longer a future idea. Today, it’s helping legal teams with everyday tasks.
Stephen gives examples like generating charts that map global entities or asking a bot in Microsoft Teams about corporate structure. The answers come back in seconds.
This kind of value adds up fast. It saves time, boosts productivity, and supports better decision-making.
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