Access to quality data is the foundation for developing effective artificial intelligence models. As a result, one of the most common issues for companies when evaluating an AI-powered product is whether a model provider can or will train its AI on customers’ (such as your company’s) data.

Read “Is it ever OK for AI providers to train on your company’s data? The answer is yes!” authored by AJ Tibbetts and Kieran Dwyer for Lawyers Weekly.

Tags: AI, GT Insight, published article
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Photo of Andrew (A.J.) Tibbetts Andrew (A.J.) Tibbetts

Leveraging his technical proficiency and prior software engineering career, Andrew (A.J.) Tibbetts provides business-oriented IP legal counseling for software, AI and electronics-based technologies. His strategic approach incorporates open source practices and trade secret policies alongside patents, and he advises clients on licensing, enforcement,

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Leveraging his technical proficiency and prior software engineering career, Andrew (A.J.) Tibbetts provides business-oriented IP legal counseling for software, AI and electronics-based technologies. His strategic approach incorporates open source practices and trade secret policies alongside patents, and he advises clients on licensing, enforcement, diligence, and defense against infringement accusations. A.J.’s patents have directly led to clients closing funding rounds, and software patents A.J. wrote for clients have survived PTAB invalidity challenges and been enforced against competitors. He co-authored influential amicus briefs cited favorably by the U.S. Supreme Court and Federal Circuit Court of Appeals relating to patentability of software.

A.J. counsels traditional software and electronics companies, including artificial intelligence and machine learning (AI/ML) across a variety of domains, networking/telecom/CDN, fintech (including market data and infrastructure), blockchain and distributed ledger tech, speech recognition, natural language processing, and more. As “software eats the world,” a growing number of companies look to A.J. for advice protecting new investments in software and data science, including life sciences, biopharma, medtech, medical devices, radiology, digital health, health care IT, and healthtech companies. A.J. advises a broad clientele, from multinational corporations to small enterprises, serves on the boards of MassMEDIC and HealthTech Build, as well as on a digital health advisory panel for MassBio.

Prior to his legal career, A.J. worked as a programmer for IBM/Lotus, contributing to the development of Lotus Notes. He also served for several years as the lead developer for a sales analytics tool, overseeing its end-to-end implementation, including planning, coding, documentation, testing, and roll-out.

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Photo of Kieran Dwyer Kieran Dwyer

Kieran Dwyer advises cloud providers and technology companies on technology transactions and partnerships, product development, artificial intelligence (AI), and regulatory compliance. He works with businesses across software, telecommunications, consulting, health care, financial services, and energy industries, working closely with go‑to‑market, product, and partner…

Kieran Dwyer advises cloud providers and technology companies on technology transactions and partnerships, product development, artificial intelligence (AI), and regulatory compliance. He works with businesses across software, telecommunications, consulting, health care, financial services, and energy industries, working closely with go‑to‑market, product, and partner teams. Kieran’s practice covers cloud agreements, strategic partnerships, AI development and deployment, privacy and data protection, competition law, cybersecurity, digital advertising, software and open-source licensing, IT outsourcing, and international expansion. He also engages with regulators on matters involving data use, technology interoperability, and competition, including inquiries by data protection authorities, the FTC, and U.S. congressional and agency staff.

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