As AI continues to transform the business landscape, staying ahead of legal developments in this space has never been more critical . Global regulation poses a particular challenge, with jurisdictions adopting divergent approaches amid fierce international competition and concerns that excessive regulation could hinder innovation .
Businesses view AI as both a gateway to efficiency savings and a litigation minefield . This guide examines the key legal risks companies face in 2026 across five critical domains—regulatory fragmentation, liability, intellectual property, antitrust, and data privacy—with practical steps to build resilient governance frameworks.
Risk 1: Navigating a Fragmented Global AI Regulatory Landscape
Regulatory Fragmentation
Regulators worldwide share concerns about AI risks, but their approaches vary significantly, reflecting today's complex geopolitical landscape .
At one end of the spectrum, the US pursues a strongly pro-innovation, light-touch stance at federal level (despite some states passing new AI laws). At the other, the EU has a comprehensive AI legislative package, albeit that its implementation is being refined through the current drive to simplify its digital rules .
UK: Maintains a sector‑specific approach; an AI Bill is expected but will not replicate the EU model .
China: Centralised state oversight with mandatory ethical reviews and content-control requirements .
U.S. Federal-State Preemption Battle
The Trump administration issued Executive Order 14,365 on December 11, 2025, seeking to "sustain and enhance the United States' global AI dominance through a minimally burdensome national policy framework for AI" .
The order directs the Secretary of Commerce to evaluate state AI laws and identify those that conflict with the administration's policy. An "AI Litigation Task Force" established by the Attorney General is directed to challenge such laws .
Department of Commerce Report Due June, 2026: The report will identify state AI laws that the administration deems inconsistent with federal policy and serve as the basis for potential federal enforcement, litigation, and legislative proposals .
States under review include comprehensive AI frameworks in Colorado, California, and New York .
The TRUMP AMERICA AI Act (Proposed)
Senator Marsha Blackburn's proposed TRUMP AMERICA AI Act (The Republic Unifying Meritocratic Performance Advancing Machine Intelligence by Eliminating Regulatory Interstate Chaos Across American Industry Act) seeks to codify the executive order .
The bill would preempt certain state AI laws while creating its own comprehensive regulatory framework .
Key provisions:
- Duty of care on AI developers to "prevent and mitigate foreseeable harm to users," enforceable by the FTC
- Risk assessments for algorithmic systems, engagement mechanics, and data practices
- Expanded liability exposure enabling US Attorney General, state AGs, and private plaintiffs to bring claims for defective design, failure to warn, and breach of warranty
- Section 230 reform narrowing immunity for platforms that "purposefully facilitate or solicit third-party content that violates federal criminal law"
- Minors protection requirements incorporating Kids Online Safety Act elements
- Federal right for individuals to sue companies for using personal or copyrighted data for AI training without explicit consent
The bill would preempt state laws regulating frontier AI developers' management of catastrophic risk and "largely" preempt state laws addressing digital replicas .
State Resistance Expected: Governors from both parties (Florida's Ron DeSantis, California's Gavin Newsom) have opposed federal preemption of state AI laws. States that have invested significant resources in developing AI regulatory frameworks are unlikely to cede authority without legal challenges .
Risk 2: AI Liability Lawsuits – Product Liability Standards for AI
AI Liability Litigation
Courts and regulators are grappling with how, and whether, to apply standards of liability to artificial intelligence tools .
The opacity of AI models, the potential for AI to produce inaccurate outputs ("hallucinations"), and the ability for AI to replicate errors quickly at scale create fertile ground for substantial claims against developers and deploying businesses .
St. Clair v. X.AI Holdings Corp (S.D.N.Y. 2026)
The first major AI liability lawsuit alleging harm from deepfake images: St. Clair v. X.AI Holdings Corp, 1:26-cv-00386 (S.D.N.Y.) .
The plaintiff alleges that an AI chatbot, responding to user prompts, altered photographs to depict her in sexually explicit and otherwise demeaning images. The lawsuit names only the AI tool's creator .
Causes of action asserted:
How the court approaches these claims may be seen as instructive to others in this emerging field .
AI LEAD Act (Proposed Federal Legislation)
The Aligning Incentives for Leadership, Excellence, and Advancement in Development Act (AI LEAD Act) seeks to impose traditional product liability standards on AI developers .
The Act contains an expansive definition of an "artificial intelligence system" and would permit claims for design defect, failure to warn, and breach of express warranty—much like the St. Clair lawsuit .
National Law Review, February 2026
Lawsuits under the AI LEAD Act could be brought by individuals, classes, the US Attorney General, or any state attorney general .
State AI Liability Bills (2026)
S. 6278 would establish a private right of action for individuals depicted in deepfake intimate images, extending liability to websites that host or transmit such material .
Bill would permit minors and guardians to sue for damages (including punitive) for chatbots encouraging self-harm, drug use, violence, or engaging in erotic interactions .
Bill would permit individuals to sue for violations of disclosure requirements (up to $1,000 per violation) .
Bill would ban personalized algorithmic pricing, providing private right of action with statutory damages of $5,000 per violation + treble damages .
Bill targeting algorithmic pricing tools would permit aggrieved parties to seek damages, including punitive or treble damages, and invalidate forced arbitration agreements .
Bill regulating AI-powered vehicle tracking provides a civil right of action for residents whose data is violated .
Bill would allow individuals whose voice or likeness appears in materially deceptive election communication to sue violators for damages .
AI Washing Enforcement
Risk 3: Intellectual Property – Copyright Battles Over Training Data
AI & Intellectual Property
2025 was another busy year for AI and IP. This trend will continue into 2026, with a lot of the focus (again) being on copyright .
The UK government is due to publish two AI and copyright-focussed reports by 18 March 2026 under the Data (Use and Access) Act 2025. The outcome of the UK consultation on copyright and AI is also expected later this year .
UK Court of Appeal is expected to hear Getty's appeal on secondary copyright infringement in its dispute with generative AI provider Stability AI .
European Commission is currently consulting on protocols for reserving rights from text and data mining. The Court of Justice of the European Union is expected to hand down its first decision in this space (in Like Company v Google) in late 2026 or early 2027 .
China: DeepSeek Trademark Conflicts & Anti‑Unfair Competition Cases
On February 6, 2026, the State Administration for Market Regulation published five typical cases of unfair competition in the field of artificial intelligence .
Case 1 – Beijing Chaoyang District Market Supervision Administration: Beijing Aolandexin Information Technology Co., Ltd.'s use of the internet to commit confusion case – the first case where market regulators used the internet to commit confusion with DeepSeek .
The company used "DeepSeek" logos and terms in its website promotion and bidding rankings, but had no connection with DeepSeek's official operators, riding on DeepSeek's popularity to obtain improper benefits .
Other cases involved false advertising, trade secret infringement, and unfair competition .
Risk 4: Antitrust – Algorithmic Pricing & AI Partnerships Under Scrutiny
AI Antitrust Risks
Competition authorities around the world are keeping a close eye on AI markets, recognising both the innovation potential and the risk of entrenched market positions .
The Trump administration's pro‑adoption AI policies may be reflected in the resolution of the Biden-era suit against RealPage concerning its AI-powered price recommendation algorithms .
Algorithmic collusion is at the centre of the RealPage litigation in the US, and the European Commission has indicated that it has several algorithmic pricing investigations underway .
Classic forms of unilateral conduct – self-preferencing, price discrimination, predation or tying – also remain on the radar. The European Commission has recently announced new probes into whether Google and Meta are favouring their own AI services .
Italy's AGCM investigation into pre-installing Meta AI on WhatsApp; interim measures adopted December 2025
EC formal investigation into whether Google used web publisher content for AI Overviews without compensation
Partnerships and investments in the AI sector face scrutiny: the FTC has conducted a 6(b) study on partnerships involving large cloud service providers and AI firms Anthropic and OpenAI . The UK Competition and Markets Authority (CMA) has used flexible jurisdictional thresholds to review non-traditional transaction structures like acquihires and non-controlling minority acquisitions .
Risk 5: Data Privacy – ICO, EDPB Guidance and Enforcement
Data Privacy
AI remains a major focus for data privacy regulators and legislators, with them seeking to balance promoting innovation and protecting individuals .
UK developments: Provisions in the UK's Data (Use and Access) Act 2025 will relax the data protection rules for AI, likely from January, particularly around automated decision making (ADM), while maintaining important guardrails for the riskiest use cases .
- ICO has promised updated guidance on ADM this winter, with a new AI code of practice to follow
- ICO collaborating closely with other UK regulators via the Digital Regulation Cooperation Forum
EU developments: The European Data Protection Board is developing guidance to support organisations to navigate the interaction of the GDPR and EU AI Act .
Data protection authorities are increasing their AI enforcement activity, focusing on both developers and corporate deployers where tools pose real privacy risks .
Spain: AEPD Issues Guidance on AI Agents
In February 2026, the Spanish Data Protection Agency published a Special Guide on Data Protection in the Field of Intelligent Agents, setting out clear compliance and prevention requirements .
Colorado AI Act – Risk Assessments Required
Colorado's comprehensive AI law (effective 2026) requires risk assessments for high-risk AI systems, with specific documentation and disclosure obligations .
What In-House Lawyers Are Most Concerned About
Shoosmiths' Litigation Risk 2026 report surveyed 360 GCs and senior lawyers in companies with revenues over £100m .
GCs most concerned about AI-related disputes:
- Employment disputes from AI's impact on jobs and roles
- Discrimination claims from AI-powered decision making
- Contractual disputes over AI services
- Privacy/data protection claims from AI data processing
- IP infringement claims following employee use of generative AI
Practical Steps to Build AI Governance Frameworks
Map AI Systems
Inventory AI systems used across operations, document risk classifications
Conduct Risk Assessments
High-risk systems require bias evaluations, documented governance procedures
Document Everything
Contemporaneous records of design choices, data sourcing, deployment decisions
Implement AI Use Policies
Employee guidelines on generative AI, confidential data, disclosure requirements
Data Governance
Align AI training data practices with privacy requirements, IP rights
Incident Response Procedures
Documented processes for AI failures, bias discoveries, security incidents
Review Contracts
Vendor agreements, IP ownership, liability allocation, indemnification
Monitor Regulatory Developments
Commerce Department report (Mar 11), state bills, EU AI Act deadlines
2026 AI Legal Risk Timeline
Report on state AI laws conflicting with federal policy
Two reports due under Data (Use and Access) Act 2025
First major AI liability lawsuit proceeds in SDNY
First CJEU decision on AI and copyright
NY, MI, MN, NC, SC, MA bills advancing through committees
Staged implementation continues; some high-risk rules delayed
Litigation Risk: Anti-SLAPP and AI Defamation
Seren v. Douglas Elliman (Fla. 3d DCA, 2025) – The court held that Section 768.295 (Florida's anti-SLAPP statute) does not apply to claims arising before January 1, 2026, despite the statute's stated purpose to encourage early dismissal of meritless lawsuits .
This ruling is significant for AI defamation claims – plaintiffs may avoid early dismissal if the conduct predates 2026, potentially reshaping litigation strategy .
Adapting to an AI Age
As AI continues to reshape industries and challenge established legal frameworks, organisations must ensure that they adopt practical AI governance frameworks which fit within their risk appetite, manage specific risks linked to their particular AI use cases and are agile enough to adapt to a changing regulatory and technological landscape .
- Regulatory fragmentation – 72+ countries, 1,000+ policy initiatives. Federal-state preemption battle reaches critical point June, 2026
- Liability – Product liability standards being applied to AI via litigation (St. Clair) and proposed legislation (AI LEAD Act, TRUMP AMERICA AI Act)
- IP – UK copyright reports due March 18; Getty appeal pending; EU Like Company v Google decision expected
- Antitrust – RealPage settlement, EC investigations into Google and Meta, algorithmic pricing scrutiny
- Data privacy – ICO guidance, EDPB guidance, increasing enforcement activity
GCs are most concerned by employment disputes, discrimination claims, and IP infringement from employee use of generative AI . Organisations that build proactive, systematic compliance frameworks will be better positioned to adapt to whatever regulatory structure ultimately emerges .
The strategic window for treating AI governance as optional has officially closed .