Program Details
2026-11-16 12:00:00
Over 1,000+ webinars
Course Overview
2026-11-16 12:00:00
2h CLE Credits
Intermediate
2
12:00 pm - 1:00 pm ESTThis session delivers practical, day-to-day mechanics of using AI to review and redline commercial agreements accurately and consistently, from the perspective of two legal practitioners who lead the commercial contracting practice of a national law firm. Topics include what AI contract review actually gets right and wrong in 2026; how to use AI effectively as a starting point to create templates, clause libraries, and playbooks; and how to use AI to perform a first-pass AI review with a human verification workflow for agreements attorneys see every day (MSAs, SOWs, NDAs, SaaS and software licenses, and other standard form agreements). Attorneys completing this session will get practical advice on how to use AI effectively to increase the efficiency of their contract review workflow, while also improving prompts and inputs to get more reliable output.
Jennifer N. Elleman
Julie D. Honor
Stanislav Zakharenko
Lee Rone 1:10 pm - 2:10 pm ESTBuilding Session 1 focuses on how to use AI contract-review tools, this session addresses how law firms and legal departments can put those tools in place responsibly. Taking into account recent judicial decisions such as United States v. Heppner, we will cover how to establish internal AI use policies and governance: which tools are approved, what work they may be used for, what client and counterparty information may be entered, and how human oversight is documented. We will also discuss selecting and contracting with legal AI vendors, including existing vendors (and their sub-processors) that are adding AI to tools you already use: what to look for in diligence (security, data use, model training rights, and human oversight and intervention features), and the key AI terms to negotiate in vendor agreements. Attendees will leave with a framework for an internal AI use policy and guidance on evaluating and contracting with legal AI vendors.
Jennifer N. EllemanJulie D. HonorStanislav ZakharenkoLee RoneJennifer N. Elleman is a partner in the Dayton office of Thompson Hine LLP, where she leads the firm’s Contract Solutions team within its Corporate Transactions & Securities practice. Her practice is devoted to the commercial contracts that run modern businesses — vendor and consumer master service agreements, statements of work, consulting, referral, nondisclosure, supply, reseller and distribution, licensing, managed technology services, and business process outsourcing agreements — and to building the template contracts, stock-language repositories, and contract management workflows that allow legal teams to review and negotiate those agreements faster and more consistently. She advises clients on artificial intelligence, on data privacy (including GDPR and CCPA compliance and data processing agreements), and on privacy and cybersecurity, digital infrastructure, and global supply chain matters, and she serves as outside general counsel to company leadership on legal risk. A former in-house lawyer at a leading global IT services provider and a Lean Six Sigma–certified practitioner, she brings to this program a rare combination of deep technology-contracting experience and a process-improvement mindset that is essential to integrating AI into contract review.
Julie D. Honor is Counsel in the Chicago office of Thompson Hine LLP, where she practices in the firm’s Corporate Transactions & Securities group, is a member of its Contract Solutions group, and is a founding member and leading lawyer of the firm’s Artificial Intelligence Industry Team. A Certified AI Governance Professional (AIGP), she advises clients ranging from Fortune 500 companies to high-growth startups on how to build, buy, and deploy artificial intelligence with a “compliance by design” approach — from the AI policies and training that govern how employees use generative AI tools to the vendor contracts that determine who bears the risk when those tools fail. Her day-to-day practice sits squarely at the center of this program: she drafts and negotiates the full spectrum of commercial agreements, including master services agreements, statements of work, consulting, referral, nondisclosure, supply, reseller and distribution, and technology licensing agreements; builds contract templates and stock-language and clause libraries; negotiates generative AI software contracts; and redesigns contract management and commercial contracting workflows. Drawing on a background as a general counsel and experience spanning litigation, intellectual property, employment, and commercial contracting, she brings the perspective of both the in-house leader who must roll out new contracting technology and the outside counsel who negotiates the terms on which that technology is bought.
Stanislav (Stas) Zakharenko is a Principal at GTC Law Group PC & Affiliates, where he is a member of the Technology Transactions Group and co-leads the firm’s Artificial Intelligence practice. A technology and AI-focused attorney with two decades of experience at the intersection of intellectual property, technology, digital media, and AI, he helps companies navigate the opportunities and risks of emerging technologies with clarity, pragmatism, and business alignment — structuring data and model licensing deals, building responsible AI programs, negotiating cloud and SaaS transactions, and assessing AI and software risk in M&A and software due diligence. Before joining GTC, he served as General Counsel of Audible, Senior Counsel at Amazon, and Director of Product and Tech Legal at Netflix, where he advised engineers and data scientists on machine learning and artificial intelligence. Having negotiated AI and technology agreements from inside some of the world’s most sophisticated technology companies, he brings an insider’s understanding of how AI vendors build, train, and license their products — and of the contract terms that matter most when lawyers rely on those products.
Lee Rone is General Counsel of IntelAgree, the AI-powered contract lifecycle management (CLM) platform that helps legal, procurement, and revenue teams make contract management faster, easier, and more secure. At IntelAgree he negotiates the company’s key contracts with customers, vendors, and partners, takes part in the design and development of the company’s AI-driven contracting products, and advises its customer success, data science, and implementation teams. His career has been built at the intersection of contract practice, data governance, and enterprise software: he has extensive experience designing contract templates, drafting and negotiating commercial agreements, handling data privacy matters, and developing contracting workflows for both cloud and on-premise software companies. As the chief legal officer of an AI contracting vendor — and a contract negotiator who works alongside the data scientists who build AI review tools — he offers attendees a rare view from both sides of the table: how AI-assisted contract review actually works, and what customers should expect, ask for, and negotiate when they contract with AI vendors.
Jennifer N. Elleman is a partner in the Dayton office of Thompson Hine LLP, where she leads the firm’s Contract Solutions team within its Corporate Transactions & Securities practice. Her practice is devoted to the commercial contracts that run modern businesses — vendor and consumer master service agreements, statements of work, consulting, referral, nondisclosure, supply, reseller and distribution, licensing, managed technology services, and business process outsourcing agreements — and to building the template contracts, stock-language repositories, and contract management workflows that allow legal teams to review and negotiate those agreements faster and more consistently. She advises clients on artificial intelligence, on data privacy (including GDPR and CCPA compliance and data processing agreements), and on privacy and cybersecurity, digital infrastructure, and global supply chain matters, and she serves as outside general counsel to company leadership on legal risk. A former in-house lawyer at a leading global IT services provider and a Lean Six Sigma–certified practitioner, she brings to this program a rare combination of deep technology-contracting experience and a process-improvement mindset that is essential to integrating AI into contract review.
Julie D. Honor is Counsel in the Chicago office of Thompson Hine LLP, where she practices in the firm’s Corporate Transactions & Securities group, is a member of its Contract Solutions group, and is a founding member and leading lawyer of the firm’s Artificial Intelligence Industry Team. A Certified AI Governance Professional (AIGP), she advises clients ranging from Fortune 500 companies to high-growth startups on how to build, buy, and deploy artificial intelligence with a “compliance by design” approach — from the AI policies and training that govern how employees use generative AI tools to the vendor contracts that determine who bears the risk when those tools fail. Her day-to-day practice sits squarely at the center of this program: she drafts and negotiates the full spectrum of commercial agreements, including master services agreements, statements of work, consulting, referral, nondisclosure, supply, reseller and distribution, and technology licensing agreements; builds contract templates and stock-language and clause libraries; negotiates generative AI software contracts; and redesigns contract management and commercial contracting workflows. Drawing on a background as a general counsel and experience spanning litigation, intellectual property, employment, and commercial contracting, she brings the perspective of both the in-house leader who must roll out new contracting technology and the outside counsel who negotiates the terms on which that technology is bought.
Stanislav (Stas) Zakharenko is a Principal at GTC Law Group PC & Affiliates, where he is a member of the Technology Transactions Group and co-leads the firm’s Artificial Intelligence practice. A technology and AI-focused attorney with two decades of experience at the intersection of intellectual property, technology, digital media, and AI, he helps companies navigate the opportunities and risks of emerging technologies with clarity, pragmatism, and business alignment — structuring data and model licensing deals, building responsible AI programs, negotiating cloud and SaaS transactions, and assessing AI and software risk in M&A and software due diligence. Before joining GTC, he served as General Counsel of Audible, Senior Counsel at Amazon, and Director of Product and Tech Legal at Netflix, where he advised engineers and data scientists on machine learning and artificial intelligence. Having negotiated AI and technology agreements from inside some of the world’s most sophisticated technology companies, he brings an insider’s understanding of how AI vendors build, train, and license their products — and of the contract terms that matter most when lawyers rely on those products.
Lee Rone is General Counsel of IntelAgree, the AI-powered contract lifecycle management (CLM) platform that helps legal, procurement, and revenue teams make contract management faster, easier, and more secure. At IntelAgree he negotiates the company’s key contracts with customers, vendors, and partners, takes part in the design and development of the company’s AI-driven contracting products, and advises its customer success, data science, and implementation teams. His career has been built at the intersection of contract practice, data governance, and enterprise software: he has extensive experience designing contract templates, drafting and negotiating commercial agreements, handling data privacy matters, and developing contracting workflows for both cloud and on-premise software companies. As the chief legal officer of an AI contracting vendor — and a contract negotiator who works alongside the data scientists who build AI review tools — he offers attendees a rare view from both sides of the table: how AI-assisted contract review actually works, and what customers should expect, ask for, and negotiate when they contract with AI vendors.
Requirements
The Alabama State Bar MCLE Commission requires attorneys to complete 12 credits, including 1 ethics, by December 31 of each year. All credits must be reported by February 15 of the following year. A maximum of 12 credits, including 1 ethics credit, may be carried over for 1 year only.
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