Emily Maxim Lamm is an associate in the Washington, D.C. office of Gibson, Dunn & Crutcher. Her practice focuses on employment litigation, counseling, and investigations. Emily has substantial expertise advising companies on regulatory compliance with the legal and policy developments surrounding artificial intelligence (AI) and other emerging technologies across the employment lifecycle. Emily has been recognized in the 2024 edition of Best Lawyers: Ones to Watch® in America for Labor and Employment Law – Management.

Leveraging her deep knowledge of rapidly evolving AI-related frameworks, Emily helps companies develop a strategic and practical approach to crafting and implementing policies, processes, and legal risk mitigation strategies. She has advised developers and deployers regarding compliance with New York City’s Local Law 144, the Illinois AI Video Interview Act, the California Consumer Privacy Act (CCPA), and other federal, state, and international data protection and employment laws. Emily is a thought leader in this space, regularly speaking and writing on AI issues in employment.

Emily also has extensive experience assisting clients in drafting employee handbooks and policies, conducting compliance audits and workplace investigations, navigating state and federal agency investigations, and advising clients on a variety of employment-related issues, including pay equity and DEI initiatives.

Emily is a member of the Associates Committee and co-chairs both the LGBTQ+ Subcommittee and Women’s Subcommittee in the Washington, D.C. office, is an associate trustee for the Washington Lawyers’ Committee for Civil Rights and Urban Affairs, and is a co-chair of the Associates Committee of the D.C. Chapter of the Coalition of Women’s Initiatives in Law. Emily was selected as a member of Law360’s 2022 Diversity & Inclusion Editorial Advisory Board and maintains an active pro bono practice focused on LGBTQ+ issues.

Emily graduated Order of the Coif from Vanderbilt Law School in 2019, where she served as the managing editor of the Vanderbilt Law Review. During law school, she was awarded the Lightfoot, Franklin & White Award for Best Appellate Brief, received the Scholastic Excellence Award in Employment Discrimination Law, and won the LGBT Bar Association’s Michael Greenberg Writing Competition. In 2016, she earned a Bachelor of Science degree, summa cum laude, in Biology from Denison University, where she was elected to Phi Beta Kappa in her junior year. Emily was awarded the Denison University President’s Medal and the James T. Glerum Jr. Presidential Top Student Athlete Award as a member of the Cross Country and Track and Field teams.

Emily is a member of the District of Columbia Bar and the American Bar Association. Emily holds a certificate on Artificial Intelligence for Decision Making from Wharton.

Selected Speaking Engagements and Publications on AI and Emerging Technology:

• “Gauging The Scope Of NYC’s New AI Employment Law,” Law360 (Aug. 31, 2023) (co-authored with Harris Mufson and Justin DiGennaro).
• “AI in Employment: Privacy Regulation Is Here,” PLI Chronicle (Aug. 24, 2023) (co-authored with Cassandra Gaedt-Sheckter).
• Panelist, Strafford Webinar, Using AI in Employment Decisions: Federal Enforcement Guidelines and State/Local Legislation (August 16, 2023).
• Panelist, Gibson Dunn Webcast, New York City’s AI Employment Law – Key Legal Risks and Considerations (June 9, 2023).
• “An Employer’s Overview Of AI Legislation In 5 Jurisdictions,” Law360 (May 30, 2023) (co-authored with Jason Schwartz and Naima Farrell).
• Panelist, Continuing Education of the Bar, Top Takeaways on AI and Privacy in Employment (May 24, 2023) (co-presented with Cassandra Gaedt-Sheckter).
• Co-presenter at CLE class titled “AI and Algorithmic Decisioning: Legal Risks and Compliance” (May 16, 2023) with Eric Vandevelde, Frances Waldmann, and Prachi Mistry.
• Moderator and Panelist, AI in Employment: Legal Risks and Considerations for HR and Employers in New York, New York City SHRM Biennial Conference (April 28, 2022).
• “10 Ways NYC AI Discrimination Rules May Affect Employers,” Law360 (April 19, 2023) (co-authored with Danielle Moss and Harris Mufson).
• “What Employers Should Know About Proposed Calif. AI Regs,” Law360 (April 12, 2023) (co-authored with Cassandra Gaedt-Sheckter and Danielle Moss).
• “Artificial Intelligence: Legal, Industry, and Regulatory Highlights,” ABA (April 4, 2023) (co-authored with Trisha Grant, Mary Eleanor Rasenberger, and Franklin Graves).
• “10 Evolving AI Compliance Considerations For Employers,” Law360 (March 1, 2023) (co-authored with Cassandra Gaedt-Sheckter).
• “Medley Of State AI Laws Pose Employer Compliance Hurdles,” Law360 (March 30, 2022) (co-authored with Danielle Moss and Harris Mufson).
• Instructor, LawPracticeCLE, Artificial Intelligence in Employment: Key Legal Considerations and Risks (December 16, 2022).
• Instructor, LawPracticeCLE, Employment in the Metaverse: Legal Considerations of a Virtual Reality Workplace (November 22, 2022).
• Panelist, Continuing Education of the Bar, Artificial Intelligence and Employment: Legal Risks and Considerations (October 11, 2022) (co-presented with Megan Cooney).
• Panelist, Strafford Webinar, Employment Law in the Metaverse: Harassment, Discrimination, Accommodations, Jurisdiction, Privacy, Cyber Security, Digital Outsourcing (September 29, 2022).
• Co-presenter at CLE class titled “Legal Risks: AI and Automated Systems” (April 21, 2022) with H. Mark Lyon and Danielle Moss.
• Panelist, Strafford Webinar, Use of AI In Employment Decisions: Legal Concerns in Hiring, Performance Management, and Termination (December 15, 2021).