Can I sue for harm caused by AI-generated content or deepfakes?

Yes. You may have a legal claim if AI-generated content causes reputational harm, defamation, impersonation, or misuses your image or voice. These cases can fall under defamation law, the right of publicity, and digital privacy statutes. Victims may also sue for emotional distress or pursue claims under Massachusetts Chapter 93A if the content was deceptive or widely distributed. Cross-border claims may arise under privacy laws like the GDPR if the content was shared internationally.

Is it illegal for AI to discriminate in hiring or lending?

Yes. If an AI system produces biased outcomes in hiring, housing, lending, or healthcare, it may violate civil rights laws like Title VII, the ADA, or FCRA. In Massachusetts, discrimination may also violate Chapter 151B. Victims may bring individual or class action lawsuits. In some cases, this bias may also trigger ESG or antitrust liability if used at scale by dominant companies.

Can I join a class action for an AI-related data breach or data misuse?

Yes. If an AI system collects or leaks your personal or biometric data without consent, you may qualify for a class action lawsuit. Legal claims may be available under the CCPA, GDPR, HIPAA, or Massachusetts privacy and consumer protection laws. Lawsuits may also target companies that use scraped personal data to train AI models without notice or consent.

Can I sue if my startup’s IP was scraped to train an AI model?

Yes. If your code, designs, datasets, or other proprietary content were used without permission to train AI, you may have claims for copyright infringement, trade secret misappropriation, or contract breach. These lawsuits may be brought under the Copyright Act, the Defend Trade Secrets Act, or Massachusetts unfair competition law—especially if the scraped content was covered by an NDA or licensing terms.

Is AI-based workplace surveillance or productivity scoring legal?

It depends. AI systems that monitor employees must comply with privacy, labor, and anti-discrimination laws. In Massachusetts, tools that track keystrokes, facial expressions, or voice data may trigger claims under the ECPA, Chapter 151B, or wrongful termination laws. Employers that use AI without transparency or bias mitigation may face lawsuits.

What legal protections do whistleblowers have when reporting illegal AI use?

Whistleblowers who report unsafe or illegal use of AI—like biased algorithms, data misuse, or ESG fraud—may be protected under the False Claims Act, Dodd-Frank Act, or Massachusetts whistleblower laws. If they suffer retaliation, they may be entitled to reinstatement, back pay, and damages. Whistleblowers may also file qui tam lawsuits involving AI misuse in government contracting or securities fraud.

Can I sue for securities fraud related to AI claims?

Yes. If a company lies or omits material facts about its AI systems—such as exaggerating capabilities, concealing safety risks, or misleading investors—it may face liability under Rule 10b-5 of the Securities Exchange Act. Investors harmed by false AI disclosures can bring securities fraud lawsuits or class actions.

Can I sue over flawed AI models used in ESG or climate risk disclosures?

Yes. If a company uses AI to generate climate or ESG disclosures that are false, misleading, or incomplete, investors and stakeholders may pursue claims. Legal remedies may be available under federal securities laws, Massachusetts Chapter 93A, or for negligent misrepresentation. This applies to disclosures in SEC filings, sustainability reports, or investor materials that rely on unreliable AI models.

Boston AI Law Attorney

AI Law

We represent those harmed by AI systems and algorithmic decision-making.

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.

60%

By 2030, AI may automate or significantly alter up to 60% of existing U.S. jobs, with white-collar roles in law, finance, media, and administration among the most at risk. 4

Algorithms used in financial services that mislead or manipulate users into fraudulent transactions could result in claims for financial loss.

Algorithms in finance, healthcare, defense, and public services increasingly make consequential decisions without transparency. Resulting harms include wrongful arrests from facial recognition errors, manipulated financial products, and discriminatory lending outcomes. This practice represents plaintiffs in disputes involving AI systems, including claims for unlawful deployment, inadequate oversight, and algorithmic bias. Corporations may be held responsible for the actions of their algorithms.

Overview

AI systems now influence credit approvals, medical diagnoses, hiring decisions, insurance pricing, and criminal sentencing. When these systems fail or produce biased outcomes, traditional legal frameworks often lack clear mechanisms for assigning responsibility. This practice applies established theories of negligence, product liability, consumer protection, and civil rights to algorithmic conduct.

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

Individuals and businesses harmed by AI systems have legal avenues under Massachusetts and federal law:

Class actions: Group litigation can address widespread AI-driven harms, enabling victims to seek compensation for privacy violations, identity theft, financial loss, or other injuries resulting from faulty algorithms or unlawful deployment.
Data Privacy: Unauthorized data collection, surveillance, or model training using personal information may give rise to claims under CCPA, GDPR, HIPAA, and Massachusetts privacy laws, including Chapter 93A.
Intellectual Property Violations: AI systems that use or generate content infringing on copyrights, trade secrets, or proprietary datasets may expose operators to IP claims or injunctive relief.
Product Liability: AI-driven devices, including autonomous vehicles, drones, and robotics, may cause injury or damage when operating beyond intended limits. Traditional and emerging product liability doctrines apply.
Surveillance and civil liberties: AI tools in policing, education, or employment that violate privacy or civil rights through facial recognition, biometric profiling, or predictive scoring may trigger claims under federal and Massachusetts civil rights statutes.
Algorithmic discrimination: Discriminatory outcomes from AI systems used in hiring, credit scoring, insurance, or tenant screening may support claims under Title VII, the ADA, FCRA, and Massachusetts Chapter 151B.

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

This practice challenges corporations and government entities that deploy AI systems without adequate oversight. Representations include whistleblowers reporting unlawful AI use in finance, government contracting, and healthcare, as well as plaintiffs pursuing claims involving automated decision-making, regulatory displacement, and cross-border liability.

How We Can Help

AI Insurance, Healthcare, and Benefits Denials

Litigate against insurers, managed care organizations, and government agencies deploying algorithmic systems to deny legitimate disability, health, or public benefit claims at scale.

AI Employment Discrimination and Workplace Surveillance

Challenge employers deploying algorithmic hiring tools, AI-driven termination systems, and unlawful workplace monitoring that produce discriminatory outcomes for employees and applicants.

Algorithmic Price-Fixing and Antitrust Collusion

Prosecute antitrust claims against competitors that fix prices through shared algorithmic platforms, coordinated revenue management software, or AI-mediated bid-rigging schemes.

AI Credit Denials and Automated Financial Decisions

Challenge financial institutions deploying opaque algorithmic underwriting, credit-scoring, and collection systems in violation of federal and state consumer protection laws.

AI Chatbot Harm, Addiction, and Product Liability

Hold AI companies liable for chatbot products causing psychological harm, addiction, or death through defective design, absent safety protocols, or manipulative engagement patterns.

Massachusetts AI Consumer Protection (Chapter 93A)

Pursue treble damages and mandatory attorney’s fees for unfair or deceptive AI practices under Massachusetts Chapter 93A.

AI Tenant Screening and Housing Discrimination

Challenge landlords and screening vendors whose algorithmic tenant-evaluation systems produce discriminatory outcomes at scale.

Privacy, Surveillance, and Biometric Data Violations

Pursue claims for unauthorized data scraping, model training, facial recognition, biometric profiling, and AI-driven predictive policing that violate civil liberties.

AI Securities Fraud and Corporate Governance Failures

Represent investors harmed by fraudulent AI capability claims and shareholders in derivative actions against boards lacking adequate algorithmic oversight or disclosure frameworks.

AI Deepfakes, Voice Cloning, and Digital Identity

Hold companies accountable for unauthorized voice cloning, synthetic media impersonation, and AI-generated reputational harm.

AI Insurance Coverage Gaps and Policyholder Rights

Challenge overbroad AI exclusions in commercial insurance policies and pursue coverage for businesses facing AI-related claim denials under contract and bad faith theories.

IP Misuse by Generative AI

Represent creators whose proprietary data, software, or copyrighted works were used without consent in model training.

Whistleblower Claims Involving AI Misconduct

Protect individuals reporting unlawful AI deployment in finance, government contracting, or healthcare.

Autonomous Vehicle and Drone Malfunctions

Pursue product liability claims for injury or property damage from defective or unsupervised autonomous systems.

Environmental Accountability for AI-Driven Misrepresentation

Challenge false climate risk models, greenwashing disclosures, or misleading ESG ratings produced by AI systems.

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