AI Law
We represent clients seeking accountability for AI systems that inflict financial loss, reputational harm, or personal injury.
37
AlphaGo’s 2016 Move 37 showcased AI’s potential, like atom splitting.
1
Assuming AI is in its Day 1 amoeba phase, we must be prepared for when it becomes a Day 2 behemoth.
1-7
In 1-7 years, AI may act independently, beyond human control, raising critical issues of aligning algorithms with human values.
12M
By 2030, AI-driven automation could displace approximately 12 million U.S. workers.
4
Kweilin Ellingrud et al., “Generative AI and the Future of Work in America,” McKinsey Global Institute (July 26, 2023).
Algorithms used in financial services that mislead or manipulate users into fraudulent transactions could result in claims for financial loss.
AlphaGo’s 2016 victory with Move 37 showcased Al’s unprecedented capabilities. After 2,500 years of human dominance in Go—a strategy board game originating in China around 500 BCE, and much more complex than chess—a silicon-based system quickly outperformed organic intelligence in a game that had challenged human ability for millennia.
Assuming Al is now in its ‘Day 1’ amoeba phase, we must consider what will happen as it rapidly evolves into a technological juggernaut, possibly within the next 1-7 years. One that has agency-inorganically capable of independent decision-making and reshaping human life, from governance to economics, in domains once solely controlled by humans. Technological singularity may be closer than we think.
Overview
We help clients navigate the evolving risks and challenges posed by rapidly advancing AI to help protect their rights and interests.
Corporations may be held responsible for the actions of their algorithms.
Autonomous AI Risks
As AI rapidly advances, its legal, ethical, and societal implications grow exponentially. Our AI law practice guides clients through the evolving risks posed by these transformative technologies, advocating for ethical and responsible use within legal boundaries. Central to our approach is addressing the ‘alignment problem’—the risk that AI could act counter to human values, as illustrated by Nick Bostrom’s ‘paperclip’ scenario, a challenge made more complex by the fact that human values themselves are not aligned.
AI pioneer and Nobel Prize winner in physics Geoffrey Hinton has also warned of the existential threat AI may pose if it gains control, raising concerns about humanity’s future in the face of autonomous superintelligence that vastly surpasses the collective intelligence of humankind.
Clients may seek compensation for harm caused by AI-driven vehicles, drones, or machinery that malfunctions, leading to personal injury or property damage.
Your Rights
- Class Actions: Class actions can address widespread AI-driven data breaches, allowing victims to collectively seek compensation for privacy violations, identity theft, and financial loss caused by poor security practices, faulty algorithms, or unlawful AI systems.
- Data Privacy: When AI systems mishandle personal data, individuals may have claims under privacy and data breach laws, including state statutes, the CCPA, GDPR (for EU residents), and HIPAA for health information.
- Intellectual Property Violations: AI systems that infringe upon patented technologies, copyrights, or trade secrets may result in intellectual property claims.
- Emotional Distress: Victims may seek compensation for significant emotional distress caused by biased or harmful AI affecting reputation or livelihood.
- AI Fraud and Misuse: Compensation may be sought for financial losses resulting from fraudulent use of AI in financial services or cryptocurrency schemes.
Legal claims may involve misuse of AI in surveillance, defense, or law enforcement that results in unlawful harm, privacy violations, or wrongful death.
Lawyers' Role
Our team helps address risks posed by AI:
- AI Bias and Discrimination Litigation: We represent victims of discriminatory AI algorithms, helping them seek compensation for unfair treatment in employment, financial services, and other sectors.
- Data Privacy and AI: We litigate cases involving AI-driven breaches of data privacy, unauthorized data use, and violations of global privacy standards like GDPR and CCPA.
- AI Intellectual Property Disputes: We represent clients in intellectual property disputes involving AI-generated content, AI-driven research, and IP violations.
- AI Regulatory Compliance: Our advisory services help clients navigate evolving AI regulations and ethical guidelines to help ensure compliance and mitigate risks.
How We Can Help
Class Actions for AI Misuse
Represent groups impacted by widespread AI-related issues, including data breaches, algorithmic discrimination, or market manipulation, through collective legal actions seeking accountability for systemic harms.
Financial Losses and AI Misuse
Advocate for clients harmed by AI-related financial fraud, including cryptocurrency scams, algorithmic trading manipulation, and deceptive market practices.
AI and Antitrust Violations
Pursue claims against companies using AI to engage in price-fixing, algorithmic collusion, and monopolistic practices. Challenge unfair competition tactics through litigation under antitrust laws like the Sherman Act and FTC regulations.
AI-Powered Fraud and Identity Theft
Represent individuals and businesses harmed by AI-driven scams, voice cloning fraud, automated phishing attacks, and deepfake financial fraud. Pursue claims under consumer protection statutes, cybersecurity laws, and emerging AI-specific fraud regulations.
AI and Environmental Accountability
Advocate for businesses, investors, and communities harmed by AI-driven climate risk miscalculations, environmental impact misrepresentation, or failures in AI-powered sustainability models. Pursue claims under SEC climate disclosure rules, global ESG regulations, and corporate accountability laws when AI contributes to environmental harm.
Bias and Discrimination in AI Systems
Advocate for individuals harmed by biased algorithms in hiring, lending, healthcare, and other sectors, advocating for equitable remedies and systemic accountability.
Privacy and Biometric Data Claims
Handle cases involving unauthorized data collection, privacy breaches, or misuse of biometric information, including facial recognition, voiceprints, and AI-driven consumer tracking, under laws like GDPR, CCPA, and Massachusetts privacy statutes.
AI and Workplace Surveillance Litigation
Advocate for employees subjected to unlawful AI-driven workplace surveillance, productivity scoring, and algorithmic decision-making that results in bias or termination. Challenge violations under privacy laws, labor rights protections, and evolving AI accountability frameworks.
AI in Healthcare and Medical Claims
Represent patients affected by AI-related healthcare errors, such as discriminatory diagnoses, treatment denials, technology failures, or improper treatments. Address claims under healthcare and tort laws to address resulting harm.
Accountability for Algorithmic Decisions and AI Governance
Advocate for individuals and groups harmed by high-stakes algorithmic decisions in healthcare, finance, and criminal justice, addressing damages caused by negligent or harmful AI governance and deployment.
Reputational and Emotional Harm from AI
Represent individuals and businesses harmed by AI-generated false or defamatory content, deepfakes, and unauthorized likeness usage. Pursue claims under defamation laws, right of publicity statutes, and digital content regulations as the legal landscape around synthetic media evolves.
AI-Driven Product Malfunctions
Advocate for individuals harmed by malfunctioning AI-powered devices, such as autonomous vehicles or drones. We pursue claims for personal injury, property damage, or other losses under product liability and related laws.
Autonomous AI and Liability Disputes
Advocate for individuals harmed by self-learning, autonomous AI systems that cause injury or financial loss beyond traditional liability models. As AI decision-making becomes more independent, liability frameworks will evolve, requiring new litigation strategies for corporate accountability.
Intellectual Property and Emerging Technology Disputes
Represent creators and innovators in claims involving the theft or misuse of proprietary AI technologies, AI-generated content, and harms arising from advanced technologies like quantum-powered AI.
AI in Surveillance and Law Enforcement
Represent individuals harmed by AI-driven policing, including wrongful arrests due to facial recognition errors, unlawful surveillance violating privacy rights, and biased predictive policing leading to discriminatory enforcement.
