WU Tax Law Technology Conference
by Institute for Austrian and International Tax Law, WU Vienna University of Economics and Business
The WU Tax Law Technology Conference is an annual event organized by the WU Tax Law Technology Center at the Institute for Austrian and International Tax Law, WU Vienna. The 2026 conference, titled "Large Language Model Agents for Tax Law Technology," took place on February 9-10, 2026, at WU Vienna.
The conference focused on the transformative role of Large Language Models (LLMs) in tax law technology. Key topics included the use of LLMs for legal interpretation and predictive analysis, AI-driven compliance tools, innovations in taxpayer services, and enhanced enforcement mechanisms. Discussions also addressed ethical and regulatory challenges posed by AI systems, such as accountability, security, and data protection. Additionally, the conference examined how Generative AI is reshaping the roles of tax professionals, influencing legislative drafting, and transforming the education and governance of tax systems.
The event featured a series of panel discussions and presentations by leading scholars, practitioners from the private sector, tax administration officials, and policymakers. Attendees had opportunities to engage in networking sessions, participate in Q&A segments, and explore the latest advancements in tax law technology. Notable speakers included experts in AI and tax law, providing valuable insights into the integration of LLMs in tax practices.
This conference was particularly relevant for tax professionals, legal scholars, policymakers, and technology developers interested in the intersection of AI and tax law. Participants gained a comprehensive understanding of the current landscape and future directions of tax law technology, equipping them with the knowledge to navigate and leverage AI advancements in their respective fields.
Event Details
- Date
- February 9-10, 2026
- 2 days
- Location
- 🇦🇹 Vienna, Austria
- WU Vienna University of Economics and Business
- Audience
- Tax professionals, legal scholars, policymakers, technology developers
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