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.
Kelley Kronenberg’s AI compliance attorneys provide the guidance businesses and AI developers need to operate confidently as artificial intelligence reshapes how companies work. Because the regulatory landscape is moving fast and the legal risks are real, businesses need counsel that combines genuine technical knowledge with legal command. Our AI compliance attorneys bring hands-on technology proficiency and deep knowledge of AI systems to every engagement, so the advice you receive is grounded in how AI actually works, not just how regulators describe it.
Our practice is among the pioneering AI compliance and governance work in Florida. We advise clients across all phases of implementation, from pre-deployment risk assessment through post-deployment compliance monitoring. Furthermore, our attorneys bring experience across multiple industries and practice areas, which means AI compliance risk is assessed in the full context of your business.
AI Compliance Services
Our AI compliance services cover the full spectrum of regulatory navigation, risk management, and strategic implementation. Specifically, we work closely with business owners, tech companies, and AI software developers to build governance frameworks that balance innovation with legal responsibility. As a result, clients move from exposure to confidence, with compliance structures that hold up under scrutiny.
AI Risk Assessment and 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, damage to your reputation, and litigation. Because every AI system carries a different risk profile, our assessments are tailored to your specific implementation and industry environment.
Ethical AI Standards and Practices
We help businesses implement enforceable ethical standards for AI use, both in internal operations and in the AI software they develop. Specifically, our focus is on building AI practices that are transparent, accountable, and defensible under scrutiny. Although many organizations treat ethics as aspirational, we help make it operational and documented.
AI Contract Drafting and 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. In addition, we ensure that contract terms keep pace with evolving regulatory requirements. See our Business Transactions practice.
AI Intellectual Property Protection
We counsel clients on protecting AI-related innovations, including algorithms, datasets, and proprietary methods, while navigating the unsettled intersection of AI and IP law. Because this area of law is still developing, our AI compliance attorneys track the regulatory signals that affect how innovations can be protected. Consequently, we ensure that 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. As requirements continue to evolve, we keep your business current. Therefore, compliance does not become a moving target you are always chasing.
Whether your business is building AI systems or deploying them, the legal and regulatory considerations are significant and evolving. Kelley Kronenberg’s AI compliance attorneys work with companies at every stage to assess risk, establish governance frameworks, and stay ahead of what regulators are signaling next.
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, including 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 without a structured compliance program in place. Working with AI compliance attorneys early is significantly less costly than responding to an enforcement action or legal challenge after the fact.
No single AI law governs businesses in the United States. Obligations vary by industry and jurisdiction and 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. Publicly traded companies should also be aware that the SEC has signaled AI use may trigger disclosure obligations when material to business operations. Kelley Kronenberg’s AI compliance attorneys monitor these requirements across jurisdictions and advise clients on where their current practices create exposure.
An AI risk assessment should identify 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 contract terms, a mapping of applicable regulations, and a cybersecurity assessment specific to your AI systems. The assessment should produce a prioritized remediation plan and an ongoing monitoring strategy. A one-time review is not sufficient given how quickly AI regulations are evolving. Businesses that have not completed a formal assessment are likely carrying unidentified exposure right now.
Protecting AI-related intellectual property requires planning around how proprietary models, algorithms, and datasets are created, owned, and protected. This is especially important when third-party tools, contractors, or open-source components are involved. Companies using third-party AI platforms need to understand what rights they retain to their inputs and outputs under those platforms’ terms of service. Kelley Kronenberg advises 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 AI risks, 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. Businesses that have not reviewed existing vendor agreements through an AI lens are likely operating under terms that do not reflect current risk. Kelley Kronenberg drafts and negotiates these provisions to reflect your actual exposure.
AI compliance means meeting specific legal and regulatory requirements. AI governance is broader and covers the internal policies, oversight structures, accountability mechanisms, and ethical standards an organization uses to manage AI responsibly over time. Strong governance anticipates regulatory requirements before they become law, reduces litigation exposure, and builds trust with clients and regulators. For most businesses, the goal is an integrated program where governance frameworks generate the documentation, controls, and audit trails that make compliance demonstrable when it is tested.
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 that affect deal value if not identified before close. 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.
Kelley Kronenberg’s AI compliance attorneys advise businesses, AI developers, and private equity firms on regulatory compliance, governance frameworks, contract risk, and IP protection across federal and state requirements. Clients receive coordinated support across AI, employment, healthcare, and corporate practice areas, which matters when AI systems touch multiple regulatory regimes at once. The firm monitors AI and data privacy developments across jurisdictions on an ongoing basis. If your business uses AI in any capacity and has not assessed its legal exposure, contact Kelley Kronenberg to schedule a consultation.
