Artificial Intelligence Patent Attorney

Forsgren Fisher McCalmont DeMarea Tysver, Minneapolis & Kansas City

Daniel A. Tysver

Dan Tysver brings over thirty years of experience in securing patents for cutting-edge computer software technologies. Throughout his career, Dan has become a trusted advisor to numerous innovators and inventors, guiding them through the complex patent landscape to secure protection for digital innovations ranging from blockchain improvements to developments in artificial intelligence.

Dan’s passion for artificial intelligence is deeply rooted, dating back to law school. While at Harvard Law School, Dan took advantage of the opportunity to take electives at other schools within the University. Dan elected to take an AI programming course at the School of Arts and Sciences focusing on the Prolog and LISP languages. He also took a seminar on Artificial Intelligence and Legal Reasoning. He used this knowledge to program a case-based reasoning system in Prolog. This system formed the basis of his third-year paper, which examined the system’s output when applying case law on evident partiality in arbitration awards. This early work in AI laid the foundation for his unique perspective on the intersection of law and technology.

Today, Dan’s specialized knowledge in AI-driven inventions is more relevant than ever. He understands the unique challenges and opportunities that AI developers face and is adept at navigating the intricacies of patent law to protect innovative ideas. As with all technologies, AI inventions must be new, useful, and non-obvious to be patentable (see the Bitlaw discussion on patent requirements). However, AI-related inventions often encounter additional complexities when trying to prove that these basic requirements have been met. For example, it is often crucial to draft a patent application for a new AI invention, such as one relating to the specific training of a neural network, in a particular manner. These applications should anticipate arguments regarding whether the invention is a non-obvious improvement over existing trained neural networks. In addition, AI inventions must meet subject-matter eligibility criteria before the Patent Office will grant a patent. Dan has written extensively on this topic (see Bitlaw’s Section 101 Index for more information) and has presented numerous seminars to other patent attorneys explaining this complex area of law. Despite these challenges, AI inventions are eligible for patent protection in the United States, with thousands of patents granted every year.

Dan’s Bitlaw website has provided free information on patent law and intellectual property protection for digital technologies for decades. Recently, Bitlaw has expanded its content to include detailed discussions on AI, such as an introduction to artificial intelligence, issues related to the training of Large Language Models (LLMs), and AI hallucinations. Bitlaw also provides information on obtaining patent protection for AI-related inventions.

Dan’s current expertise in AI and patent law is highly sought after. He has delivered numerous presentations to other lawyers on various AI-related topics. The presentations cover topics such as the nature of generative AI, protecting AI under both patent and copyright law, the unique challenges of patenting of AI-created inventions, and the ethical use of generative AI in legal practice. With his in-depth knowledge and experience, Dan is an ideal partner for AI inventors seeking to secure their intellectual property and protect their innovations.

Feel free to contact Dan if you have any questions or if you would like to discuss the patent process with him.

Dan Tysver

Dan Tysver

  • More than 30 years of experience
  • Author of Bitlaw
  • Graduate of Carleton College and Harvard Law School
  • Nice guy!

Read more on Dan’s bio page.


Dan graduated from Carleton College in Northfield, MN, with a major in Physics. He received his law degree from Harvard Law School. Dan studied computer science extensively at Carleton, and continued this study while at Harvard.

Dan served for ten years as an adjunct professor of Software and Technology Law at the University of St. Thomas Graduate Programs in Software and previously served as an adjunct professor of patent law at the University of Minnesota Law School. Dan actively participates in the legal community and has served as the chair of both the Computer Law Section and the Internet Law Committee of the Minnesota State Bar Association. Dan has presented nationally on various subjects, including an on-demand introductory seminar on artificial intelligence that has been completed by over 2,500 attorneys.

Dan founded and ran Tysver Beck Evans, a small boutique patent law firm in Minneapolis, for over twenty-five years. He is now a partner in Forsgren Fisher McCalmont DeMarea Tysver, which he helped found in 2021. Dan has been named a Super Lawyer and has previously been honored as a Top 40 IP Attorney by Minnesota Law and Politics.

Speeches and Presentations

Over the past thirty years, Dan has frequently presented to other attorneys and bar associations on intellectual property law in general, and on AI-related technologies in particular. Some recent presentations include: