Law firms want more control over their AI to protect their edge. The hard…

Law firms want more control over their AI to protect their edge. The hard part is knowing what's actually worth owning. Let's talk about strategic autonomy.

Kirkland & Ellis is investing $500M in its own AI platform. Latham & Watkins has been buying its own GPU servers. And vendors like Harvey are now offering to build private models for firms.

Control has always been the goal. Cost has always been the catch. But as AI usage explodes, vendors are moving to usage-based pricing, and open-weight models like Kimi K3 are getting good enough to rival frontier models. On-premises AI may still be expensive, but the equation may be changing.

In our first LTF Online session, Raymond Blyd and I will unpack what on-premises AI really means, how it changes security, what's worth building versus buying, and what it all costs.

And for the many firms that won't buy their own servers: what does a realistic level of autonomy look like?

For GCs, the same questions apply to your own legal AI tools, and to how your outside counsel handle your data.

Raymond is CEO of Legalcomplex and Founder of Sabaio. He has built on-premises AI for legal work, and now works on AI infrastructure and governance for the Dutch Ministry of Defence. He's a data person at heart, with a rare talent for turning complex questions into clear numbers and plain language.

• Tuesday, October 13
• 10 AM PT / 1 PM ET / 6 PM UK
• 45 minutes, no technical background needed.

LTF Online is the first online series from Legal Tech Frontier. After 13 in-person events across the US and Asia, we're bringing the conversation online, inviting recognized experts to unpack the AI questions legal leaders care about most.

Scan the QR code or register via the link in the comments.