Session I – The Evolution of AI and CLMs – Zach Abramowitz
Zach Abramowitz will kick off the session with a strategic synopsis of how Artificial Intelligence is reshaping the Contract Lifecycle Management (CLM) landscape. He will explore why AI and CLMs haven’t always been an ideal fit, analyzing the structural and adoption challenges that have limited integration in the past. Zach will then discuss the current wave of disruptors driving innovation and how CLM systems must evolve to stay relevant. Finally, he’ll provide a foundational understanding of Large Language Models (LLMs) and their implications for legal departments managing complex contract workflows.
Key topics to be discussed:
- Why AI and CLMs haven’t been an ideal fit
- The wave of disruptors and how CLMs must adapt
- A foundational synopsis of LLMs and their implications for legal departments managing contracts
Session II – Integrating AI into CLM: Opportunities, Challenges, and Practical Realities – Jasmine Singh
Following Zach’s strategic synopsis, Jasmine Singh from Ironclad will lead a practical exploration of how AI is being integrated into Contract Lifecycle Management systems today. She will highlight how Large Language Models (LLMs) are transforming contract drafting, negotiation, and review, while addressing real-world challenges related to data privacy, ethics, and multi-jurisdictional contracting. Jasmine will also discuss how AI tools can help manage conflict-of-law complexities and enable closer collaboration between in-house counsel and business teams to drive smarter, faster, and more transparent operations.
Key topics to be discussed:
- Integrating AI into CLM: Opportunities, challenges, and practical realities
- How LLMs are reshaping contract drafting, negotiating, and reviewing
- Managing multi-jurisdictional contracting and conflict-of-law risks with AI tools
- The future of AI-enabled collaboration between in-house counsel and business teams
Date / Time: January 7, 2026
- 1:00 pm – 3:10 pm Eastern
- 12:00 pm – 2:10 pm Central
- 11:00 am – 1:10 pm Mountain
- 10:00 am – 12:10 pm Pacific
Closed-captioning available