Artificial Intelligence

LEADERS

Overview

The pace of technology development in the areas of automation and artificial intelligence is growing at an exponential rate. While many of the underlying technologies have existed for decades, interest in their proliferation has never been greater, and appears likely only to increase for the foreseeable future.

The growing use of automation and artificial intelligence technologies in all aspects of life presents a wide variety of legal challenges in an evolving regulatory landscape, not only for those who may be developing products in the field, but also for anyone who may use such technologies as part of their business. The Artificial Intelligence Practice brings together the talents and experience of lawyers throughout Gibson Dunn, collectively possessing a diverse array of technical and legal expertise and skills, and is well-positioned to assist our clients in identifying, addressing, and responding to these challenges.

Gibson Dunn’s AI Practice is made up of attorneys from across the firm, including in the Privacy, Cybersecurity and Data Innovation, Labor & Employment, and Technology Regulatory practices to engage with companies across sectors in counseling, regulatory response, litigation, and transactional matters. The AI Practice counsels companies at the cutting edge of developing AI technologies, as well as with companies looking to understand and respond to dynamic legal framework as they deploy these tools.

The AI Practice works with our clients in all industries, including high tech, healthcare, finance, consumer goods, and industrial. Whether the concern is forward looking legal exposure, response to regulatory inquiries, acquisition or transfer of data and intellectual property rights, data privacy and security, AI policy and ethics, or litigation, our Gibson Dunn attorneys are at the forefront of handling these issues.

EXPERIENCE & RECENT REPRESENTATIONS

  • Advised Fortune 100 technology companies on legal considerations associated with the development, deployment, and go-to-market strategy for AI/ML products for both consumer and enterprise customers.
  • Advised numerous companies on the legal and ethical policies and procedures applicable to their AI products, systems, and services, as well as the implementation of the same. Companies represented span a wide range of industries, from entertainment, to healthcare, to enterprise digital infrastructure and virtual/augmented reality.
  • Advised companies on legal and regulatory considerations associated with the deployment of cutting-edge AI tools, including in context of employment (recruiting), interaction with customers and users, and automation of industrial processes.
  • Represented a Fortune 100 company in its cross-border acquisition of an Irish developer of AI-based machine vision technology.
  • Represented Ford Motor Company in its $1 billion investment in and technology collaboration with Argo AI, an artificial intelligence venture developing autonomous vehicle technology.
  • Advised a venture-backed company in its development and release of an AI-based chatbot application useable over multiple social media platforms.
  • Represented a major medical device manufacturer in patent litigation involving implantable medical devices incorporating machine learning and other AI-based technologies.
  • Advised an emerging growth company developing integrated circuits specially designed for use in AI systems with regard to the protection of the company’s intellectual property rights, licensing matters, and various other transactional issues.
  • Represented a major medical device manufacturer in licensing negotiations involving diagnostic products incorporating neural network and other AI-based technologies.

RECENT PUBLICATIONS

Artificial Intelligence Review and Outlook – 2024

-February 8, 2024

Cos. Should Plan Now For Extensive EU Data Act Obligations

-February 1, 2024

Using Data Analytics and Artificial Intelligence for Public Disclosures

-January 17, 2024

Webcasts: Gibson Dunn’s Annual California MCLE Blitz – 2024

-January 16, 2024

A Green Light for EU AI Act

-December 26, 2023

Practical Insights for Employers Using AI

-December 19, 2023

New York Department of Financial Services Finalizes Second Amendment to Cybersecurity Regulation

-December 18, 2023

The EU Agrees on a Path Forward for the AI Act

-December 14, 2023

Gibson Dunn Taps Paris/London Partner Robert Spano as a Co-Chair of its Artificial Intelligence Practice

-December 11, 2023

In Three New Rules, BIS Continues Efforts to Reshape Global Semiconductor Supply Chains and the Future of Artificial Intelligence Training and Supercomputing

-October 25, 2023

Webcast: Recent European Union ESG and AI Developments and the Impact on U.S. Businesses

-October 24, 2023

AI in Employment: Privacy Regulation Is Here

-September 8, 2023

Gauging The Scope Of NYC’s New AI Employment Law

-September 5, 2023

Senate Judiciary Committee Seeks Guidance on Effective AI Regulation

-August 25, 2023

Vivek Mohan Named a Top Lawyer Under 40 in Silicon Valley

-August 21, 2023

Mitigating AI Cybersecurity Risks From The Top Down

-August 9, 2023

New York Department of Financial Services Proposes Updated Second Amendment to Cybersecurity Regulation

-August 3, 2023

White House announces commitments by leading companies to responsible development of AI technology

-July 28, 2023

NYC’s Artificial Intelligence Law: Key Takeaways From Newly Released FAQs

-July 7, 2023

European Parliament Adopts Its Negotiating Position on the EU AI Act

-June 21, 2023

“Oversight of AI: Rules for Artificial Intelligence” and “Artificial Intelligence in Government” Hearings

-June 6, 2023

An Employer’s Overview of AI Legislation in 5 Jurisdictions

-May 31, 2023

Keeping Up with the EEOC: AI Focus Heats Up with Title VII Guidance

-May 23, 2023

Federal Policymakers’ Recent Actions Seek to Regulate AI

-May 19, 2023

What Employers Should Know About Proposed Calif. AI Regs

-April 13, 2023

CHIPS Act Update: U.S. Department of Commerce Provides Guidance for Funding Pre-Applications

-April 12, 2023

Gibson Dunn Adds Of Counsel Christopher Rosina in New York

-March 28, 2023

Keeping Up with the EEOC: 5 Takeaways from its Algorithm Rewriting Settlement

-March 23, 2023

10 Evolving AI Compliance Considerations for Employers

-March 2, 2023

NIST Releases First Version of AI Risk Management Framework

-January 27, 2023

Artificial Intelligence and Automated Systems 2022 Legal Review

-January 25, 2023

Webcasts: Gibson Dunn’s Annual California MCLE Marathon – 2023

-January 12, 2023

Artificial Intelligence and Automated Systems Legal Update (3Q22)

-November 17, 2022

Cassandra Gaedt-Sheckter Named Among California’s Women Leaders in Tech Law

-October 31, 2022

Cassandra Gaedt-Sheckter Named to Silicon Valley Business Journal 40 Under 40

-August 15, 2022

Artificial Intelligence and Automated Systems Legal Update (2Q22)

-August 10, 2022

Insights And Omissions From Calif. Privacy Rules Draft

-July 12, 2022

Artificial Intelligence and Automated Systems Legal Update (1Q22)

-May 5, 2022

2021 Artificial Intelligence and Automated Systems Annual Legal Review

-January 20, 2022

Webcast: Economic Espionage and Intellectual Property Theft: Trends and Developments with Threats and Enforcement

-September 23, 2021

Artificial Intelligence and Automated Systems Legal Update (2Q21)

-August 11, 2021

Artificial Intelligence and Automated Systems Legal Update (1Q21)

-April 23, 2021

Fourth Quarter and 2020 Annual Review of Artificial Intelligence and Automated Systems

-January 29, 2021

United States: Artificial Intelligence 2021

-January 22, 2021

Connected and Autonomous Vehicles (“CAVs”) Legal Update: U.S. Department of Transportation Seeks Public Comment on Automated Driving System Safety Principles

-November 25, 2020

Artificial Intelligence and Automated Systems Legal Update (3Q20)

-November 5, 2020

Artificial Intelligence and Automated Systems Legal Update (2Q20)

-July 22, 2020

Designing for Why: The Case for Increasing Transparency in AI Systems

-June 24, 2020

Artificial Intelligence and Automated Systems Legal Update (1Q20)

-April 21, 2020

EU Proposal on Artificial Intelligence Regulation Released

-February 26, 2020

2019 Artificial Intelligence and Automated Systems Annual Legal Review

-February 11, 2020

Artificial Intelligence and Automated Systems Legal Update (4Q19)

-January 15, 2020

Fiduciary Duty Considerations For Boards Of Cos. Using AI

-January 6, 2020

United States: Artificial Intelligence

-December 10, 2019

Artificial Intelligence and Autonomous Systems Legal Update (3Q19)

-November 4, 2019

Implications of AI on Board Oversight

-October 28, 2019

Gearing up for the EU’s next regulatory push: AI

-October 18, 2019

USPTO Requests Public Comments on Patenting Artificial Intelligence Inventions

-August 28, 2019

Artificial Intelligence and Autonomous Systems Legal Update (2Q19)

-July 23, 2019

Can GDPR Hinder AI Made in Europe?

-July 10, 2019

Mark Lyon Named to The Recorder’s Inaugural List of California Trailblazers

-June 28, 2019

Mark Lyon Named Top AI Lawyer 2019 by Daily Journal

-June 26, 2019

Before We Regulate

-June 26, 2019

Artificial Intelligence and Autonomous Systems Legal Update (1Q19)

-April 23, 2019

President Trump Issues Executive Order on “Maintaining American Leadership in Artificial Intelligence”

-February 12, 2019

Artificial Intelligence and Autonomous Systems Legal Update (4Q18)

-January 22, 2019

The Impact of the New USPTO Eligibility Guidelines on Artificial Intelligence-related Inventions

-January 11, 2019

Gibson Dunn Launches Artificial Intelligence and Automated Systems Group

-December 17, 2018

New Export Controls on Emerging Technologies – 30-Day Public Comment Period Begins

-November 21, 2018

Artificial Intelligence and Autonomous Systems Legal Update (3Q18)

-October 10, 2018

New California Security of Connected Devices Law and CCPA Amendments

-October 5, 2018

Aerospace and Related Technologies – Key Developments in 2017 and Early 2018

-March 16, 2018

Accelerating Progress Toward a Long-Awaited Federal Regulatory Framework for Autonomous Vehicles in the United States

-September 14, 2017

When AI Creates IP: Inventorship Issues To Consider

-August 10, 2017