Gibson Dunn | Artificial Intelligence and Automated Systems

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 these 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. Gibson Dunn’s Artificial Intelligence and Automated Systems (AI/AS) Practice Group 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.

As specialists in a variety of legal areas, the members of Gibson Dunn’s AI/AS Practice Group are engaged with cutting edge technology companies in litigation and transactional matters spanning a wide spectrum of machine and deep learning, expert systems, neuromorphic computing, relational reasoning and analytic technologies. Our lawyers with technical backgrounds and advanced degrees can provide the necessary insight to develop and defend key growth areas including dedicated integrated circuit design, NLP, chatbots, augmented/virtual reality, computer vision, robotics, autonomous vehicles, and other new emerging tech forms.

The AI/AS Practice Group works with our clients in all industries, from business support and financial institutions, to healthcare, consumer electronics, high tech and social media. Whether the concern is downstream liability, acquisition or transfer of data and intellectual property rights, data privacy and security, AI policy and ethics, or regulatory compliance, our Gibson Dunn attorneys have the required expertise.

EXPERIENCE & RECENT REPRESENTATIONS

Represented a Fortune 100 company in its cross-border acquisition of an Irish developer of AI-based machine vision technology.
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.
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 consumer electronics manufacturer in patent litigation in the district court and before the Federal Circuit involving Natural Language Processing technology and virtual assistants.
Represented a developer of expert systems software in patent litigation against a chief competitor.
As part of a comprehensive response to the discovery of potential misuse of user data by third-parties, Gibson Dunn conceptualized, organized, and directed a sensitive and fast-paced investigation for our client, including the use of hundreds of consultants and a team of lawyers across our U.S. and international offices. The investigation included complex and unique technical analysis involving machine learning and other artificial intelligence techniques, in addition to more traditional investigative efforts.
Represented a major medical device manufacturer in patent litigation involving implantable medical devices incorporation machine learning and other AI-based technologies.
Secured dismissal of a putative class action complaint against Toyota Motor Corporation and Toyota Motor Sales, U.S.A., Inc. in which plaintiffs alleged that their Toyota vehicles were “defective” because the vehicles’ electronic control units (ECUs) and/or controller area network (CAN or CAN bus) units were vulnerable to “hacking.” Gibson Dunn also successfully defended the dismissal on appeal to the Ninth Circuit.

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.

Artificial Intelligence and Automated Systems

LEADERS

H. Mark Lyon

Overview

EXPERIENCE & RECENT REPRESENTATIONS

RECENT PUBLICATIONS

Artificial Intelligence and Autonomous Systems Legal Update (3Q19)

Implications of AI on Board Oversight

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

USPTO Requests Public Comments on Patenting Artificial Intelligence Inventions

Artificial Intelligence and Autonomous Systems Legal Update (2Q19)

Can GDPR Hinder AI Made in Europe?

Before We Regulate

Mark Lyon Named Top AI Lawyer 2019 by Daily Journal

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

Artificial Intelligence and Autonomous Systems Legal Update (1Q19)

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

Artificial Intelligence and Autonomous Systems Legal Update (4Q18)

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

Gibson Dunn Launches Artificial Intelligence and Automated Systems Group

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

Artificial Intelligence and Autonomous Systems Legal Update (3Q18)

New California Security of Connected Devices Law and CCPA Amendments

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

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

When AI Creates IP: Inventorship Issues To Consider