AI Compliance and Governance
AI Compliance and Governance involves guiding businesses through the legal, ethical, and regulatory challenges of artificial intelligence. It ensures AI systems are transparent, secure, and aligned with emerging laws.
As artificial intelligence reshapes how businesses operate, the legal risks are real and the regulatory landscape is moving fast. Kelley Kronenberg’s AI compliance attorneys provide the guidance businesses and AI developers need to operate confidently in this environment, from navigating emerging federal and state regulations to building governance frameworks that hold up under scrutiny.
Our AI compliance attorneys bring a combination of technical depth and regulatory command to every engagement. With attorneys holding advanced degrees in technology fields and extensive experience in data privacy, cybersecurity, and emerging technology law, we address the full complexity of AI implementation, not just the surface-level compliance questions. Our team’s background includes federal court proceedings, AI regulatory compliance matters, and high-stakes technology litigation.
Our attorneys have worked with federal agencies, handled regulatory proceedings, and conducted compliance assessments across multiple jurisdictions. Combined with our experience in commercial law, intellectual property, data privacy and cybersecurity, and federal regulatory matters, that breadth ensures your AI initiatives are protected from multiple angles.
AI Compliance Services
Our AI compliance services cover the full spectrum of regulatory navigation, risk management, and strategic implementation. We guide organizations through AI governance from initial risk assessments to ongoing compliance monitoring, working closely with business owners, tech companies, and AI software developers to build frameworks that balance innovation with legal responsibility.
Data Privacy & Cybersecurity for AI Systems
Our AI compliance attorneys counsel businesses on meeting federal and state-level privacy requirements, including GDPR, HIPAA, FSCA, FIPA, and GLBA, as they apply to AI systems. We identify cybersecurity vulnerabilities in AI implementations, safeguard consumer data, and handle required regulatory reporting and documentation. Learn more about our Data Privacy & Cybersecurity practice.
AI Risk Assessment & Mitigation
AI risk assessment is central to what our team does. We audit and evaluate AI systems for legal exposure, identify vulnerabilities before they become liabilities, and establish compliance standards that protect clients from regulatory penalties, reputational harm, and litigation.
Ethical AI Standards & Practices
We help businesses implement enforceable ethical standards for AI use, both in internal operations and in the AI software they develop. Our focus is on building AI practices that are transparent, accountable, and defensible under scrutiny.
AI Contract Drafting & Negotiation
Our AI compliance attorneys draft and negotiate AI-specific contract language for use with tech companies, business partners, and third-party vendors. We address intellectual property rights, compliance responsibilities, liability allocation, and risk exposure across the full lifecycle of AI relationships. See our Business Transactions practice.
AI Intellectual Property Protection
We counsel clients on protecting AI-related innovations, including algorithms, datasets, and proprietary methodologies, while navigating the unsettled intersection of AI and IP law. Our AI compliance attorneys ensure your innovations are protected and your use of AI tools does not create unintended IP exposure. Learn more about our Intellectual Property practice.
AI Regulatory Reporting & Documentation
We draft and file the reports and documentation required to meet AI compliance obligations across regulatory agencies and jurisdictions, keeping your business current as requirements continue to evolve.
Our AI Compliance Approach
AI compliance is an ongoing legal and operational responsibility. Kelley Kronenberg’s AI compliance attorneys develop strategies aligned with your business objectives, your industry’s regulatory environment, and the pace at which AI law is changing.
We work with startups implementing their first AI system and established corporations managing complex AI portfolios. In both cases, our approach is the same: assess the actual risk, build a compliance framework that works in practice, and stay ahead of what regulators are signaling next.
If your business is using AI or building it, our team is positioned to make sure you are doing it on solid legal ground.
AI Compliance and Governance FAQs
AI compliance means ensuring your artificial intelligence systems meet applicable legal, regulatory, and ethical standards. This includes data privacy laws, industry-specific regulations like HIPAA or GLBA, and emerging AI-specific frameworks. Businesses that deploy AI face growing exposure to regulatory scrutiny, litigation risk, and reputational harm when their systems lack transparency or legal grounding. A compliance program addresses these risks before enforcement actions or legal challenges arise.
There is no single AI law in the United States. Businesses must navigate a patchwork of obligations that varies by industry and jurisdiction. Current requirements include the EU AI Act for companies with EU operations or customers, federal rules such as HIPAA, GLBA, and FCRA, FTC guidance on AI transparency, and a growing number of state-level AI and data privacy laws. For publicly traded companies, the SEC has signaled that AI use may trigger disclosure obligations when it is material to business operations. Kelley Kronenberg monitors these developments across multiple jurisdictions and helps clients stay ahead of shifting requirements.
Private equity firms face AI compliance obligations in their own operations and across their portfolio. AI used internally for deal sourcing, due diligence, or portfolio monitoring may trigger SEC and FINRA oversight. Portfolio companies in healthcare, insurance, or consumer-facing sectors carry their own sector-specific AI risks. Kelley Kronenberg advises PE firms on AI governance frameworks, AI-related representations and warranties in M&A transactions, and pre-acquisition AI risk assessments that surface regulatory exposure before it affects deal value.
A thorough AI risk assessment identifies legal, regulatory, and operational risks tied to how an AI system is built, trained, and deployed. Key components include a review of data sources and governance practices, an analysis of potential bias or discriminatory outputs, a review of third-party vendor AI tools and their contract terms, a mapping of applicable regulations, and a cybersecurity assessment specific to your AI systems. The result should be a prioritized remediation plan with an ongoing compliance monitoring strategy, not a one-time review.
Protecting AI-related intellectual property requires careful planning around how proprietary models, algorithms, and datasets are created, owned, and protected. This is especially true when third-party tools, contractors, or open-source components are involved. Companies using third-party AI platforms also need to understand what rights they retain to their inputs and outputs under those platforms’ terms of service. Our attorneys advise on IP ownership structures, trade secret protections for AI systems, and licensing arrangements that protect the value of your AI assets.
Standard commercial contracts rarely address the unique risks of AI, which leaves businesses exposed on data ownership, liability, and compliance responsibility. Key clauses to require include data ownership and usage rights (particularly whether a vendor can use your data to train their models), compliance responsibility allocation, audit and transparency rights, indemnification for AI-generated errors or regulatory violations, and provisions covering bias and explainability. Our team drafts and negotiates these provisions to reflect your actual risk exposure.
AI compliance means meeting specific legal and regulatory requirements. AI governance is broader. It covers the internal policies, oversight structures, accountability mechanisms, and ethical standards an organization builds to manage AI responsibly over time. Strong governance anticipates regulatory requirements before they are written into law, builds stakeholder trust, and reduces litigation exposure. For most businesses, the goal is an integrated program where governance frameworks generate the documentation, controls, and audit trails that make compliance demonstrable to regulators and courts.
Locations We Serve
- Florida
