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Articles by William A. Tanenbaum
Legal Issues for Data Professionals: Decision Rights Licensing and Building Data Products
Legal Issues for Data Professionals is a quarterly TDAN column published by DATAVERSITY. A retailer packages its customer data and sells access for $500,000 a year. The product is defined the way most data products are defined: by the number of records and how often they refresh. The agreement says the buyer may use the data in the consumer packaged goods industry. Months later, the buyer uses the data to train a model and sells access to the result.
Illinois Audit Law Will Make AI Clauses Actually Enforceable
By William Tanenbaum ( July 15, 2026, 4:36 PM EDT) -- In negotiating artificial intelligence services agreements, the most difficult provisions I see involve operationalizing responsible AI obligations.... Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions.
Legal Issues for Data Professionals: Preventive Healthcare and Data
This column addresses the role of data in the field of healthcare known as “preventive healthcare.” Preventive healthcare is undergoing changes as data increases its scope and the role it plays in healthcare. For the purpose of this article, traditional healthcare refers to patient care received from a physician or hospital to treat an illness or medical condition. Traditional healthcare includes “interventions,” such as surgery or the prescription of pharmaceutical medication.
Legal Issues for Data Professionals: AI Personas
This column addresses key legal and data issues arising from the creation and commercialization of “AI Personas.” It covers the anatomy of a legal “AI Personal Development and User Agreement.” Taking the advertising industry as an example, an AI Persona, in over-simplified terms, is a synthetic person. More precisely, it is a dynamic, data-driven digital representation of a “person” that stands in for a segment of a marketplace.
Legal Issues for Data Professionals: Data Centers in Space
Artificial intelligence companies are exploring locating their data centers on satellites. Satellites address many of the constraints on terrestrial data centers generated by the demands of AI. Sunlight provides power, the cold temperature provides cooling, and the location in orbit avoids land-use restrictions. This is not just the topic of keynote speeches, IT and defense-tech companies are already researching or prototyping systems that would train and run AI models in orbit.
Legal Issues for Data Professionals: Protecting Against AI Risks in NDAs
This column explores how to protect against the risks of AI in legal confidentiality and non-disclosure agreements (NDAs). When companies are considering entering into a business relationship and/or are engaging in preliminary discussions about a contemplated agreement, they often create a term sheet that outlines the key business and legal provisions to be included in the final agreement.
Legal Issues for Data Professionals: Preventive Healthcare and Data
This column addresses the role of data in the field of healthcare known as “preventive healthcare.” Preventive healthcare is undergoing changes as data increases its scope and the role it plays in healthcare. For the purpose of this article, traditional healthcare refers to patient care received from a physician or hospital to treat an illness or medical condition. Traditional healthcare includes “interventions,” such as surgery or the prescription of pharmaceutical medication.
Why GCs Need To Know How Bad Data Cripples AI
Both Generative Artificial Intelligence (e.g., output from ChatGPT) and Non-Generative AI (e.g., analytics from Machine Learning) depend on high-quality data to achieve reliable results. Because good AI depends on reliable quality data, which in turn often relies on third-party vendor agreements, corporate law departments are often called upon to supervise or coordinate AI projects in a multi-department, multi-stakeholder, multi-user and multi-vendor business and technology environment.
Legal Issues for Data Professionals: Current Leading U.S. AI Laws
There is no nationwide federal law in the U.S. that specifically regulates the development, deployment, and use of AI in the private sector. (This contrasts with AI use in U.S. federal agencies, as discussed below.) This absence of such a federal law contrasts with the recently enacted AU AI law. Instead, in the U.S., there is a “patchwork” of federal, state, and municipal laws.
Legal Issues for Data Professionals: Pros and Cons of AI in Healthcare (Part 1)
The use of Artificial Intelligence (AI) in healthcare provides promises, risks, and unintended consequences. This column addresses the evolving AI issues in connection with the following topics: As used in this column, “AI” covers both generative and non-generative AI, with a focus on machine learning as part of non-generative AI. One of the most promising benefits of AI in healthcare is that it can meaningfully reduce the time physicians spend on administrative functions.
Legal Issues for Data Professionals: AI Creates Hidden Data and IP Legal Problems
As data has catapulted to a new and valuable business asset class, and as AI is increasingly used in business operations, the use of AI has created hidden data and IP risks. These risks must be identified and then measures must be taken to protect against both a loss of rights and an infringement of rights. This column uses a series of hypothetical fact patterns to present illustrative examples of how problems can arise and the potential effects that result if they do.
Legal Issues for Data Professionals: A New Data Licensing Model
This column presents a new model for licensing and sharing data, one that I call the “Decision Rights Data Licensing Model” (or the “Decision Rights Model,” in a shorter form) and one that has been met with acceptance in commercial transactions. The Decision Rights Model addresses current business and legal needs in licensing data in today’s environment.
INSIGHT: Data Fabrics, Health Data Analytics, and Emerging Legal Issues
In Part 3 of a three-part series on AI in health care, Polsinelliâs William A. Tanenbaum looks at how âdata fabricsâ improve analytics for health systems and the legal issues that should be addressed in contracts involving IP, data rights, and data sharing. Health care data analytics enables better patient care and improved hospital operations. Such analytics rely on âmachine learning,â rich datasets, and a range of new information technology tools.
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