I am a licensed attorney with over twenty years of experience in commercial litigation, contract evaluation, and administrative law in both the public and private sectors. My practice has covered everything from municipal and corporate contracts to complex notarial instruments, financing agreements, real estate transactions, and appellate work before administrative agencies and courts.

As municipal legal director, I managed institutional contract review, built an evaluation framework for recurring contract categories, and trained staff on contractual and municipal compliance. That experience shaped how I approach any complex system with rules, hierarchies, and consequences: methodically, thoroughly, and with attention to every gap.

The transition to AI risk assessment is not a career change. It is a natural extension of the same analytical toolkit I have applied for two decades. Reviewing an AI system’s instructions requires the same discipline as drafting a Supreme Court brief or evaluating whether an administrative regulation complies with its enabling authority. There is a sequence. There are rules. Every condition must be anticipated. Every gap is a liability.

What most technical evaluators are not trained to see is what I look for first: the legal consequences of how a system is configured, what authority is being transferred to it, what the contract actually says versus what the vendor represented, and whether the buyer genuinely understood what they were consenting to before they signed.

I founded SafeSmartAI to fill a structural gap in the market. Most AI guidance comes from vendors, implementers, and consultants with platform relationships. I work exclusively on the buyer side. No vendor relationships. No conflicts of interest. My only client is the person/organization that needs to understand what it is being bought, before making a commitment.

My work includes comprehensive due diligence on AI systems, evaluating each case across legal, contractual, governance, regulatory compliance, and technical dimensions, with the goal of identifying the risks a buyer is assuming before the contract is signed.

I have published analysis on AI drift risks, vendor evaluation, the fundamentals of AI systems in business environments, and the potential conflicts of interest in legal representation of AI transactions. This work reflects a structured and accessible approach to a subject most legal professionals have not yet mastered.

If your organization is evaluating an AI solution, let’s talk before you sign.