Most in-house legal teams have tried AI but haven’t yet made it a consistent part of their workflow. In this webinar, we’ll show you how AI earns a place in everyday legal work, including contract review.
Join us on Wednesday, January 21 at 3:00 PM ET / 12:00 PM PT, as Corey Longhurst, Chief Growth Officer of LegalOn, and Katie Harris, LegalOn’s Commercial Counsel, will discuss how in-house legal teams are moving from experimentation to operational AI. Drawing on insights from the IHC 2026 AI for In-House Legal Survey, the session highlights where adoption is taking hold and what it takes to implement AI at scale.
While AI use in contract review has more than doubled in the last year, most teams still consider themselves early in their AI journey. This session will zero in on the practical foundations that make AI dependable in everyday legal work: contract playbooks, structured prompt libraries, and systems that apply legal judgment consistently across agreements.
Key takeaways:
Attendees will learn how to:
- Understand where AI adoption is actually happening in in-house legal and what is holding teams back
- Move beyond one-off prompts to build repeatable, workflow-driven AI use cases
- Use structured prompt libraries to create consistent and reliable AI-assisted workflows
- Turn legal judgment into scalable contract review playbooks
- Assess readiness for AI agents, including where autonomy makes sense and where guardrails remain essential
Who Should Attend:
This session is for in-house counsel, legal operations professionals, and contract managers who are looking to operationalize AI for their team. Whether you’re still using ad hoc prompts or beginning to formalize AI-assisted review, you’ll leave with a practical framework for moving from experimentation to impact.
This Program is not CLE Eligible
There is NO COST to attend this program!
This program is FREE thanks to our gracious sponsor, Legal On! If you can’t make it to the live program, the recording will be available for viewing via our Free Video Library.
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