FREE TO ATTEND
- CLE credit available in all U.S. jurisdictions, pending final regulatory review
- Under consideration for CPD accreditation in Ontario and B.C.
OVERVIEW
As AI makes it possible to extract accurate data across entire contract portfolios, the expectations placed on in-house legal teams are changing. The business is asking questions that carry deadlines and need answers across every agreement, not just the ones someone had time to read. Which contracts are affected by a new regulation? What are we exposed to if a key supplier fails? What will we inherit in an acquisition?
This webinar looks at what that means in practice for in-house legal departments. Through scenarios involving M&A, regulatory change and market disruption, our expert speakers will examine how AI-assisted contract analysis can help legal teams answer those questions, where the technology falls short, and why verification, professional judgment and oversight remain the lawyer’s responsibility.
themes + agenda
Key themes
- Exposure at portfolio scale: When every indemnity, termination right, liability cap and force majeure clause can be extracted across the whole book, exposure becomes a measurable number. The question is whether the standard of care rises once full review is feasible—and what expanded review capabilities mean for lawyers’ duties of competence and diligence.
- Regulatory, market and M&A answers in days, with nothing skipped: When regulations change, markets shift or deals enter diligence, AI can analyze every contract for key clauses and exposure. Who owns the findings, how quickly must the business act, and will buyers increasingly expect structured contract data from sellers?
- Reasonable verification when you can’t re-read everything: Competence, confidentiality and supervision duties now cover the tool and its vendors. Verification has to scale too, through risk-based sampling, confidence scores and human review focused on high-stakes extractions.
- The lawyer’s role after extraction: Examining how lawyers interpret AI-generated findings and translate portfolio-level insights into legal advice, risk mitigation and negotiation strategies.

