Elizabeth (Liz) Lan Davis leads the commodities and derivatives business practice within Davis Wright Tremaine’s financial services group. With nearly two decades of federal government experience at the Commodity Futures Trading Commission and the U.S. Department of Justice, Liz brings uncommon insight and perspective to advocating for clients before the CFTC, DOJ, IRS, SEC, the National Futures Association, and exchanges such as CME and ICE.
Joshua Mitts is the David J. Greenwald Professor of Law at Columbia Law School, where he uses advanced data science to conduct research on corporate and securities law. His primary focus is informed trading in capital markets and related topics in law and finance.
Live Video-Broadcast: November 18, 2026
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The Trade Nobody Noticed Is Now the Trade the Data Finds
People now bet on elections, corporate events, and government actions on prediction markets such as Kalshi and Polymarket. One study of Polymarket contracts flagged more than 210,000 suspicious bets with about 70% win rates and an estimated $143 million in profits. In stock markets, statistical and machinelearning tools now spot suspicious trading that would have gone unnoticed ten years ago.
An employee bets on the employer's earnings or deals, and the company carries a new insider risk. A trader uses one company's confidential information to trade another company's stock, and shadow trading after SEC v. Panuwat is in play. An executive trades under a 10b5-1 plan, and the plan can become evidence of intent. A platform fails to investigate, and surveillance and KYC duties can create liability. Meanwhile, the CFTC, the states, and the platforms still dispute who polices event contracts.
You leave with a practical framework for advising platforms, companies, and individuals, plus concrete compliance steps: blackout periods, pre-clearance, monitoring, and data-vendor controls. You also learn how trading-pattern evidence is built and how to challenge it under Daubert and Rule 702, judgment calls no algorithm makes for you.
Key topics to be discussed:
This course is co-sponsored with myLawCLE.
Date / Time: November 18, 2026
Closed-captioning available

Elizabeth Lan Davis, Partner | Davis Wright Tremaine LLP
Elizabeth (Liz) Lan Davis leads the commodities and derivatives business practice within Davis Wright Tremaine’s financial services group. With nearly two decades of federal government experience at the Commodity Futures Trading Commission and the U.S. Department of Justice, Liz brings uncommon insight and perspective to advocating for clients before the CFTC, DOJ, IRS, SEC, the National Futures Association, and exchanges such as CME and ICE. Ranked Band 1 nationwide and globally for derivatives enforcement by Chambers & Partners, she represents individuals and corporate entities in financial services examinations, regulatory investigations and litigation, and white-collar matters, and provides regulatory compliance guidance across the financial markets. (Her pronouns are she/her.)
Liz earned her J.D. from Tulane University Law School in 1999 and her B.A. from the University of Pennsylvania in 1996. She is admitted to practice in the District of Columbia.
Liz has been named one of “America’s Leading Lawyers for Business” by Chambers USA in Derivatives: Enforcement, earning a Band 1 ranking every year from 2023 to 2026, and is listed in The Best Lawyers in America for Derivatives and Futures Law (2027–present). The Department of Justice recognized her with its Outstanding Attorney Award in the Tax Division (2004, 2006, 2007). She was selected to the Washington Business Journal’s “Women Who Mean Business” (2021) and received the Pioneer Award from the Asian Pacific American Bar Association of the Greater Washington, D.C. Area (2021). She is the former chair of McGonigle, P.C., where she was a founding member of the firm’s Commodities, Futures & Derivatives practice group.
Liz is deeply engaged in the commodities, derivatives, and digital asset communities. She serves on the Executive Committee of the Futures Industry Association’s Law & Compliance Division and as a member and conference co-chair of the American Bar Association’s Commodities & Derivatives Section, and she has served as the Law Firm Board Member of the Commodity Markets Council and co-chaired the Global Digital Asset Cryptocurrency Association’s Compliance Community of Practice. She is active in Women in Financial Markets and the Women’s White Collar Defense Association, and is a past Fellow of the Leadership Council on Legal Diversity. Liz is also a co-author and co-editor of Banking on Blockchain: A Legal and Regulatory Guide, Second Edition, a comprehensive review of the law and regulation of digital assets and blockchain published by the American Bar Association in 2026.
Liz’s clients span senior management, traders, financial institutions, proprietary trading firms, agricultural and energy firms, futures commission merchants, fintech companies, digital asset exchanges, DeFi protocols, commodity pools, and commodity trading advisors. Drawing on her deep government background, she handles investigations and litigation efficiently and resolves civil and criminal matters in ways that significantly reduce the penalties sought by the government while zealously advocating for her clients. At the CFTC, she served as a chief trial attorney in the Division of Enforcement, leading civil regulatory investigations on matters including fraud and manipulation, disruptive trading practices, digital assets, credit default swap indices, undercapitalization, and swaps reporting. Before her nine-year CFTC tenure, she served as counsel to the Deputy Assistant Attorney General for civil matters in the DOJ Tax Division and as a trial attorney in its civil trial section, trying numerous bench and jury trials on behalf of the IRS in federal district and bankruptcy courts. Today, she defends financial institutions and professionals in enforcement proceedings, advises on regulatory compliance from registration and Dodd-Frank reporting to token listings and prediction markets, and represents financial entities in complex litigation and cost-effective internal investigations.
Joshua Mitts, David J. Greenwald Professor of Law | Columbia Law School
Joshua Mitts is the David J. Greenwald Professor of Law at Columbia Law School, where he uses advanced data science to conduct research on corporate and securities law. His primary focus is informed trading in capital markets and related topics in law and finance. Employing empirical methods including statistical analysis and machine learning, Professor Mitts studies short selling, securities lending, informed trading on cybersecurity breaches, information leakage and hedge fund activism, insider trading on corporate disclosures, and information transmission in financial markets— work that has made him a leading and frequently cited authority on the intersection of technology, trading, and market regulation.
Professor Mitts holds a Ph.D. in Finance and Economics from Columbia Business School (2018), a J.D. from Yale Law School (2013), and a B.A. in Liberal Studies from Georgetown University (2010). His interest in data science dates back to high school, when he won the Microsoft Windows Forms Coding Hero Award for developing software for the Microsoft .NET platform.
Professor Mitts joined the Columbia Law faculty in 2017 as associate professor of law and was named professor of law in 2022 before being appointed to the endowed David J. Greenwald professorship. He is a fellow of the Columbia Law School Program in the Law and Economics of Capital Markets and a member of the Center for Financial and Business Analytics at Columbia University’s Data Science Institute. A widely sought voice on market structure and regulation, he is regularly quoted in national outlets including the Associated Press, CNBC, and Bloomberg News on topics such as prediction markets, short selling, and informed trading.
Professor Mitts frequently speaks at conferences, symposiums, and workshops, recently presenting his paper “A Legal Perspective on Technology and the Capital Markets: Social Media, Short Activism and the Algorithmic Revolution” at the New Special Study of the Securities Markets/FINRA Technology Conference. To help practitioners and scholars communicate more effectively with software engineers, he introduced the course Data and Predictive Coding for Lawyers to the Law School curriculum, and he taught at the Columbia Law Summer Program in American Law in Amsterdam in 2019. His research and commentary regularly inform public debate on emerging issues such as prediction markets and their implications for elections and securities regulation.
Professor Mitts’s scholarship sits at the forefront of empirical corporate and securities law, applying quantitative methods to questions of market manipulation, disclosure, and the flow of information among sophisticated traders. His specialties span securities law, corporate law, financial contracts, law and finance, and empirical methods in law, and his teaching bridges the worlds of law, finance, and data science. Through his research, teaching, and public commentary—including analysis featured in litigation and policy debates over prediction markets—he has established himself as an influential scholar shaping how regulators, courts, and market participants understand technology’s growing role in the capital markets.
SESSION 1 – Betting on Inside Information: Insider Trading, Manipulation, and Corporate Risk in Prediction Markets | 12:00pm – 1:00pm
This session examines the rise of informed trading on prediction markets such as Kalshi and Polymarket, where people now bet on elections, corporate events, government actions, and pop culture. Growth on these platforms has brought a wave of trades that appear to rely on classified, corporate, or other nonpublic information. The session draws on the speaker’s own study of Polymarket contracts, which flagged more than 210,000 suspicious bets with about 70% win rates and an estimated $143 million in profits. It explains why this activity is so hard to detect, how the same markets can be moved by false rumors and coordinated trading, and who has authority to police it: the CFTC, the states, or the platforms themselves. It also covers the new risk for companies whose employees can bet on their employer’s product launches, earnings, deals, or leadership changes. Attendees will leave with a practical framework for advising platforms, companies, and individuals in this fast-moving area.
BREAK | 1:00pm – 1:10pm
SESSION 2 – Beyond the Tipper and Tippee: Shadow Trading, 10b5-1 Plans, and How Data Analytics Is Changing Insider Trading Enforcement | 1:10pm – 2:10pm
This session addresses how insider trading law is expanding past the traditional tipper–tippee case. Regulators and plaintiffs now pursue shadow trading, meaning trades in other companies’ stock based on confidential information from one’s own company. They are also looking closely at trades made under 10b5-1 plans and at unusual trading before cybersecurity breaches and activist campaigns. At the same time, statistical and machine-learning tools can spot suspicious trading patterns that would have gone unnoticed ten years ago. The session covers the legal theories expanding liability, what the data shows about informed trading in stock markets, how regulators and litigants use trading-pattern analysis as evidence, and how that evidence can be challenged in court. Attendees will leave with concrete steps for building insider trading compliance programs that hold up under this new level of data-driven scrutiny.
Approved for CLE Credits
2 General
Approved for CLE Credits
2 General
Approved for CLE Credits
2 General
Approved for CLE Credits
2 General
Approved for CLE Credits
2 General
Pending CLE Approval
2 General
Approved for CLE Credits
2 General
No MCLE Required
2 CLE Hour(s)
Pending CLE Approval
2 General
Approved via Attorney Submission
2 General Hours
Pending CLE Approval
2 General
Approved for CLE Credits
2 General
Pending CLE Approval
2 General
Pending CLE Approval
2 General
Approved for CLE Credits
2 General
Pending CLE Approval
2 General
Pending CLE Approval
2 Substantive
Pending CLE Approval
2 General
Pending CLE Approval
2 General
No MCLE Required
2 CLE Hour(s)
No MCLE Required
2 CLE Hour(s)
Pending CLE Approval
2 General
No MCLE Required
2 CLE Hour(s)
Pending CLE Approval
2 General
Approved for CLE Credits
2.4 General
Pending CLE Approval
2 General
Pending CLE Approval
2 General
Pending CLE Approval
2 General
Approved for CLE Credits
2 General
Pending CLE Approval
2 General
Approved for CLE Credits
120 General minutes
Approved for CLE Credits
2 General
Approved for CLE Credits
2 General
Approved for CLE Credits
2 General
Approved for CLE Credits
2 General
Approved for CLE Credits
2 General
Pending CLE Approval
2.5 General
Pending CLE Approval
2 General
Approved for CLE Credits
2 General
Pending CLE Approval
2.5 General
Pending CLE Approval
2 General
No MCLE Required
2 CLE Hour(s)
Approved for CLE Credits
2 General
Approved for CLE Credits
2 General
Pending CLE Approval
2 General
Not Eligible
2 General Hours
Approved for CLE Credits
2 General
Approved via Attorney Submission
2 Law & Legal Hours
Pending CLE Approval
2 General
Pending CLE Approval
2.4 General
Pending CLE Approval
2 General