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AI& Related Fields
Navigating Legal, Regulatory, and Commercial Challenges in the Age of AI
SJKP LLP provides comprehensive legal counsel on the challenges and opportunities presented by artificial intelligence (AI). We support technology companies, AI investors, and users of AI systems in industries including healthcare, finance, transportation, media, and beyond. Our approach integrates regulatory guidance, contract structuring, intellectual property protection, and litigation defense to help clients implement AI responsibly, minimize risks, and capture growth opportunities.
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1. AI & Related Fields Regulatory and Compliance Frameworks
AI regulation is rapidly evolving at both the U.S. and international levels. Businesses must prepare for frameworks addressing data privacy, intellectual property, export controls, securities laws, and antitrust risks. The U.S. is issuing sector-specific guidance on algorithmic accountability, while the EU AI Act introduces a risk-based regulatory framework that imposes obligations depending on whether systems are low, high, or unacceptable risk. Companies that anticipate and adapt to these changes will avoid costly enforcement actions and strengthen public trust.
AI Governance and Ethical Compliance Programs
We assist clients in building AI governance frameworks that align with global best practices. This includes drafting internal policies for ethical AI use, establishing oversight committees, and ensuring transparency in algorithmic decision-making. By embedding ethics into compliance programs, businesses can demonstrate accountability to regulators, investors, and consumers.
2. Artificial Intelligence & Related Fields and Global Legal Risks
AI development and deployment often span multiple jurisdictions, raising cross-border compliance challenges. Conflicting rules may apply to AI-generated content, data localization, or export restrictions on advanced AI chips and models. SJKP LLP helps clients navigate these risks by coordinating strategies that respect local laws while enabling innovation.
Data Privacy and Responsible AI Use
Training and deploying AI models requires handling vast amounts of data, often including personal or sensitive information. Our team advises on compliance with the GDPR, CCPA/CPRA, HIPAA, and sector-specific U.S. laws. We guide clients in lawful data collection, anonymization practices, and secure cross-border transfers. We also advise on minimizing risks in generative AI applications that scrape or synthesize third-party content.
3. AI & Related Fields in Transactions and Contracts
AI commercialization raises complex transactional questions involving ownership, licensing, and performance standards. We help clients structure mergers and acquisitions, joint ventures, and licensing agreements to ensure that AI assets are properly valued and protected. Our expertise covers everything from negotiating data access rights to allocating liability for algorithmic errors.
Licensing and Development Agreements
We draft and negotiate agreements for AI model development, deployment, and vendor relationships. Contracts address issues such as ownership of training data, intellectual property in outputs, performance benchmarks, and remedies for algorithmic bias. Clear allocation of rights and obligations prevents disputes and provides a foundation for sustainable partnerships.
Investment and M&A Due Diligence
Our lawyers counsel investors and acquirers on due diligence in deals involving AI platforms. We analyze proprietary datasets, assess the scalability of training models, and review compliance with AI-related regulations. This helps investors identify hidden liabilities and make informed valuations in a rapidly growing market.
4. AI & Related Fields Litigation and IP Protection
As AI adoption accelerates, disputes are emerging around IP ownership, algorithmic discrimination, and the limits of fair use. Courts and regulators are grappling with novel questions such as whether machine-generated works are copyrightable or how liability should be allocated when an AI system makes harmful decisions. SJKP LLP represents clients in litigation and regulatory enforcement, defending their rights while shaping emerging legal precedent.
Intellectual Property Ownership of AI Outputs
We advise on the protectability of AI-generated content, including questions of copyright authorship and patentability. Our team develops strategies to secure IP rights in AI innovations while avoiding infringement claims related to training datasets. We also assist in licensing agreements that govern the commercial use of AI-generated outputs.
Algorithmic Accountability and Risk Management
We help clients defend against claims of bias, discrimination, or error in AI systems, particularly in employment, lending, healthcare, and consumer-facing applications. Our counsel includes designing compliance policies, preparing for class actions, and engaging proactively with regulators. By addressing algorithmic accountability, clients reduce litigation risk and enhance trust in their AI systems.
The information provided in this article is for general informational purposes only and does not constitute legal advice. Reading or relying on the contents of this article does not create an attorney-client relationship with our firm. For advice regarding your specific situation, please consult a qualified attorney licensed in your jurisdiction.
