AI Literacy for In-House Legal Teams: Practical Training for Real Legal Work

Sona Sulakian

In-house legal departments are experiencing growing operational friction: more channels, more tools, more intake, and more distributed knowledge—yet the work is no less complex. When institutional expertise lives in individual inboxes, scattered precedents, and disconnected systems, legal teams pay a steep “context tax” and spend too much time reinventing the wheel. The result is predictable: slower cycle times, inconsistent risk decisions, and a persistent perception of Legal as a bottleneck rather than a business enabler.
Join us on Thursday, March 26 at 3:00pm ET / 12 PM PT as Jennifer Poon, Chief Legal Architect at Sandstone, Noga Rosenthal, General Counsel and Chief Privacy Officer at Ampersand and Katelyn Canning, General Counsel at Ocrolus, explore what it means to build an AI-native legal department—not as a set of isolated tools, but as a restructured operating model with AI as a first principle. This CLE-eligible session will break down the difference between AI-augmented workflows and AI-native operating systems, and walk through the pillars that enable compounding efficiency: dynamic knowledge capture, integrated intake and visibility, and the right division of labor between human judgment and automated execution.
Key Takeaways
Who Should Attend
This program is designed for General Counsel, Deputy/Assistant GCs, legal operations leaders, and in-house attorneys who want to reduce friction in legal service delivery, improve consistency and transparency across workflows, and build a scalable operating model that keeps pace with business demand—without sacrificing judgment, governance, or risk discipline.
There is NO COST to attend this program!
This program is FREE, thanks to our gracious sponsor, Sandstone! The home for AI-native legal departments. If you can’t make it to the live program, the recording will be available for viewing via our paid CLE library, In-House Connect On-Demand!





