Artificial intelligence is no longer experimental.
It is embedded in how businesses hire, market, analyze data, make decisions, and interact with customers. Yet many organizations adopt AI tools without fully understanding the legal, ethical, and regulatory risks that come with them.
As a lawyer specializing in intellectual property and privacy law, and as a Certified Artificial Intelligence Governance Professional (AIGP), I help organizations move beyond hype and into lawful, ethical, and responsible AI adoption. The goal is not to slow innovation, but to ensure AI systems are deployed in a way that protects your business, your customers, and your reputation.
Below is an overview of the core AI legal services I provide and why they matter now more than ever.
Advising on Lawful and Ethical AI Use
AI touches sensitive areas such as personal data, intellectual property, employment decisions, and consumer interactions. Businesses must ensure that AI-powered technologies are developed, operationalized, and adopted in ways that comply with existing laws and align with ethical best practices.
I advise clients on:
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Appropriate use cases for AI within their organization
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Legal risks tied to training data, outputs, and decision-making
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Intellectual property ownership and licensing concerns
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Privacy and data protection obligations
Responsible AI use begins with understanding what your systems are doing and what the law expects of you.
AI Governance and Vendor Diligence
Many AI risks originate not from internal development, but from third-party tools and vendors. Organizations often rely on AI platforms without fully understanding how those systems are built, trained, or monitored.
I counsel clients on responsible AI governance, including:
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Evaluating AI vendors for legal, privacy, and ethical risks
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Assessing transparency, accountability, and data handling practices
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Identifying contractual gaps and compliance exposures
Strong AI governance ensures your organization remains accountable even when the technology is outsourced.
Drafting AI Policies and Procedures
A clear AI governance framework is no longer optional. Regulators, investors, and business partners increasingly expect documented policies that explain how AI is used, monitored, and controlled.
I develop and draft:
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AI governance policies
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Internal procedures for AI use and oversight
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Guidelines for employees and contractors
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Documentation aligned with regulatory expectations
These policies help organizations demonstrate good faith compliance while reducing operational and legal risk.
AI Risk Audits and Red Teaming
AI systems can behave in unexpected and harmful ways. Bias, discrimination, hallucinations, privacy violations, and unlawful outputs are not theoretical concerns. They are real business risks.
I conduct and advise on:
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AI risk audits
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AI red teaming exercises
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Testing for illegal activities and harmful outputs
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Identifying bias, discrimination, and hate speech risks
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Evaluating privacy harms and misinformation
The purpose is not to assign blame, but to proactively identify vulnerabilities and implement mitigation strategies before problems arise.
Regulatory Guidance in a Rapidly Evolving Landscape
AI regulation is moving quickly at both the state and federal level, as well as internationally. Organizations that wait for enforcement actions to adapt are already behind.
I help clients stay ahead by:
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Monitoring emerging AI legislation and regulatory guidance
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Translating legal requirements into practical business steps
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Preparing organizations for compliance audits and inquiries
Proactive regulatory awareness reduces uncertainty and protects long-term growth.
Strategic Consulting, Training, and Board-Level Guidance
AI governance is not just a legal issue. It is a leadership issue.
I advise organizations by:
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Consulting on AI practices and internal controls
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Presenting AI risk and governance issues to corporate boards
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Training executives, legal teams, and operational staff
Education and alignment across the organization are essential for responsible AI adoption.
AI can be a powerful competitive advantage, but only when deployed responsibly. Legal compliance, ethical considerations, and governance frameworks are not barriers to innovation. They are the foundation that allows innovation to scale safely.