AI is entering contract workflows faster than legal teams can govern it.
Register for our CLE-accredited* webinar on oversight, confidentiality, vendor accountability, and professional responsibility in AI-powered contract management.
This webinar is expected to qualify for 1 hour of CLE credit in AK, AL, AZ, CA, CT, DC, FL, ID, MN, MO, MT, ND, NJ, NM, NY, OH, PA, RI, UT, VA, WI, WV, WY. Attorneys may be eligible to receive CLE credit through reciprocity or attorney self-submission in other states. For more information about CLE accreditation please contact sdornbush@nacle.com.
Save Your Seat
AI in Contract Management: Legal Risks, Ethical Duties, and Practical Guidance
After you submit the form, keep an eye out for a Zoom link and CLE-credit instructions from NACLE.
Why this matters now
Knowing how to oversee AI is becoming as much a part of contract work as drafting agreements.
When AI drafts and redlines clauses, summarizes risk, or handles the data inside an agreement, reviewing the final document no longer covers your obligations. You answer for the policy behind the tool, the vendor running client data through it, and the steps it takes without a person in the loop.
Generative AI
Review the artifact
You review each draft, summary, or redline before acting on it.
Agentic AI
Govern the process
When AI routes, escalates, approves, or executes, you have to oversee the whole workflow.
What you'll learn
A practical framework for AI responsibility in contract management.
01
Oversight obligations
How AI changes competence, supervision, and review expectations.
02
Confidentiality risk
What changes when client or contract data flows through vendor-managed AI.
03
Vendor accountability
The diligence questions to ask across DPAs, BAAs, and vendor security reviews.
04
Standards and controls
How SOC 2, ISO 27001, NIST, and AI-specific controls fit together.
05
Staying current
What AI regulation and standards are coming over the next 6–12 months, and how to adapt your governance policy.
Rules of Professional Conduct
Mapping AI to your professional duties.
A working map of the ABA Model Rules most affected when AI enters the contract workflow, including ABA Formal Opinion 512.
Duties to the client
Competence
Understand the AI tools you use well enough to use them properly.
Communication
Keep clients informed about how AI is used in their matters.
Reasonable fees
Reflect AI-driven efficiency fairly in what clients are billed.
Confidentiality
Protect client information when it flows through AI systems.
Duties of supervision
Managerial responsibility
Put firm policies in place that govern responsible AI use.
Nonlawyer assistance
Supervise AI as you would any nonlawyer assistant.
Vendor diligence
Handing data to a vendor doesn’t stop your duty to protect it.
As AI becomes embedded in contract platforms, you need to understand how vendors handle your data, apply security controls, document their AI use, and back your governance with audit rights and disclosure.
Data use and retention
Where contract data goes, who can see it, and how long it is kept.
Model training boundaries
Whether your data is used to train shared or third-party models.
Auditability
Whether AI actions can be traced, exported, and reviewed after the fact.
Human oversight
Where a person stays in the loop on decisions and execution.
AI-specific controls
What governs the AI itself, beyond general security certifications.
Contractual commitments
DPAs, AI addenda, and the standards written into the agreement.
Meet the Speakers
Hear from both legal and security leaders.
Legal
Lee Rone, Esq.
General Counsel
IntelAgree
General Counsel at IntelAgree, where he negotiates the company’s contracts with customers, vendors, and partners. He covers the ethical duties AI raises in contract work and how to build governance around them.
Security
Marlon Abbott
Director of Information Security
IntelAgree
Director of Information Security at IntelAgree and a certified IT auditor. He covers the security standards used to evaluate AI vendors — SOC 2, ISO 27001, and NIST — and how to read them as a vendor’s AI footprint changes.
Field perspective
Stanislav Zakharenko, Esq.
Principal
GTC Law Group
Principal at GTC Law Group, where he co-leads the firm’s AI practice and advises clients on AI governance and technology transactions, including M&A. Previously General Counsel of Audible, with senior legal roles at Amazon and Netflix.
Save your free seat