Our Services Include:

• Negotiating Agreements with Third-Party AI and Data Vendors. For companies that do not have the necessary AI and data expertise in-house, we negotiate agreements with vendors for AI and data products and services that these companies need to use AI and commercialize data.
• AI and Data for Mid-Market Companies. We advise mid-market businesses on moving from AI pilot programs to full deployment, contracts with AI vendors, integrating AI into IT systems, data management, regulatory compliance, and competitive issues in this market segment. Using AI to improve human and chatbot customer service is an illustrative business use case.
• Data as a Business Asset. We assist companies using data in internal planning, commercializing data to generate new sources of revenue independent of AI, and leveraging data’s value in business relationships.
• Customer-Facing AI. We work with companies in the development and use of AI to improve products and services and to increase business opportunities with new and existing customers.
• Generative AI and Machine Learning. We assist companies in addressing the risks that can arise from employee use of Generative AI, and we prepare Acceptable Use Policies and Standard Operating Procedures for Generative AI and Machine Learning.
• Data Quality and the Data Supply Chain. In AI, the supply chain is the data itself. We address this in our article published at https://tdan.com/legal-issues-for-data-professionals-in-ai-data-itself-is-the-supply-chain/32284. We address the legal risks that arise at each step in the data life cycle, including in acquiring, combining, and using data from internal and external sources to avoid having bad data cripple AI. 
• M&A and Corporate Transactions. Data as a new business asset class and AI as a new technology present challenges not readily solved in corporate transactions by conventional legal approaches. We counsel on how AI and Data can change how acquisitions, divestitures and other business agreements (including due diligence) should be structured.
• Licensing Data to Third Parties and our Innovative "Decision Rights" Licensing Model. We developed the “Decision Rights” data licensing model to overcome the ambiguity and potential loss of rights that results from granting licenses in fields of use and other traditional licensing models. Our Decision Rights model addresses these risks by defining the scope of use in terms of the specific decisions that licensee can make from the licensed data. This precision allows the licensor to license the same data to other entities for different purposes. This model is described in our article published at this link https://tdan.com/legal-issues-for-data-professionals-a-new-data-licensing-model/31404 and that has been cited in academic reviews and a law school journal.
• Licensing Data from Third Parties. We handle the agreements and help navigate the risks and in securing the benefits of licensing data from third parties, including addressing regulatory requirements and legal issues that arise when data is repurposed.
• IP and Data Rights. We advise companies on obtaining and preserving data rights and offensive and defensive IP issues, including securing IP rights from employees and third parties and minimizing infringement risks.
• Regulations and Privacy. We counsel on AI and data regulations and issues at the intersection of privacy and data protection.
• International. We advise non-U.S. law firms and their clients on the distinctive AI and data regulations in the U.S., on buying and selling AI products and services in the U.S., business and cultural differences in negotiating with U.S. companies, and dispute resolution under the U.S. system.
• Cybersecurity. We counsel companies with respect to the new avenue for cyberattacks created by AI, responding to hacking incidents, and the legal aspects of upgrading data breach protection.
• Upgrading Technology Agreements for AI. Almost all technology agreements now incorporate AI.  We handle these agreements and those for the often-necessary upgrading of IT infrastructure for AI, including protecting against gaps when multiple vendors are involved.
• AI Platforms. We assist companies that create AI-enabled platforms and companies that use AI platforms.
• AI and Data Adoption by Law Firms and Corporate Law Departments. The question is not whether AI will replace lawyers. The question is whether lawyers who use AI will replace those who do not. We assist law firms and corporate legal departments in the legal aspects of implementing AI.
• Agentic AI. We advise on this next-generation AI. Examples of business use cases include analyzing customer data in real-time to provide tailored product recommendations, dynamic pricing, and proactive customer support.

CLE Presentations:  We provide internal CLE programs on the above topics tailored to a company’s specific needs.

Our Qualifications and Experience:  We have the experience that comes from formalizing our AI & Data Law Practice early, in 2020, before ChatGPT, and we are named as a pioneer law firm in this area by Chambers, Who’s Who Legal/Lexology, Dataversity, and the Practising Law Institute.  Our lawyers are recognized for their leadership in the field.  For example, the practice Chair, William A. Tanenbaum, is ranked as a “leading name in AI,” a “go-to” lawyer on data, and a “Thought Leader Global Elite in Data Law” (one of only five in the U.S.) (Who’s Who Legal/Lexology) and was selected by Chambers as the editor of its inaugural “Global Practice Guide to AI.”  Our practice group includes Liberty McAteer, a partner who was previously the Deputy General Counsel at a Silicon Valley technology company where he addressed AI and data issues and who continues to write software.

Click here for the Technology, AI & IP Practice Brochure.

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