Andrew Blair-Stanek teaches tax law, finance, and accounting. His research interest is using artificial intelligence to identify tax-minimization strategies before taxpayers use them.
Prior to entering academia, Professor Blair-Stanek practiced tax law at McDermott, Will & Emery, LLP in Washington, DC. He clerked for the Hon. Paul V. Niemeyer, U.S. Court of Appeals for the Fourth Circuit.
Professor Blair-Stanek received his JD from Yale Law School, where he was on the Yale Law Journal and acted in the Yale Law Revue (a comedy troupe). Before attending law school, he worked as a software design engineer for Microsoft Corporation.
Scholarship
Forthcoming Works - Journal Articles & Working Papers
Andrew Blair-Stanek & Benjamin Van Durme, LLMs Provide Unstable Answers to Legal Questions (working paper). [WWW]
Contributions to Law Reviews and Other Scholarly Journals
Andrew Blair-Stanek, Nils Holzenberger & Benjamin Van Durme, OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?, 180 Tax Notes Fed. 1101-1105 (2023). [WWW]
Book Chapters & Collected Works
Ishani Mondal, Michelle Yuan, Anandhavelu N, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme & Jordan Boyd-Graber, ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information On-the-Fly, inProceedings of the 31st International Conference on Computational Linguistics 5870-5889 (Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio & Steven Schockaert eds., Association for Computational Linguistics 2025). [WWW]
Andrew Blair-Stanek, Nils Hozenberger & Benjamin Van Durme, BLT: Can Large Language Models Handle Basic Legal Text?, inProceedings of the Natural Language Processing Workshop 2024, at 216-232 (Nikolaos Aletras, Ilias Chalkidis, Leslie Barrett, Cătălina Goanță, Daniel Preoțiuc-Pietro & Gerasimos Spanakis eds., Association for Computational Linguistics 2024). [WWW]
Abe Hou, William Jurayj, Nils Holzenberger, Andrew Blair-Stanek & Benjamin Van Durme, Gaps or Hallucinations? Scrutinizing Machine-Generated Legal Analysis for Fine-grained Text Evaluations, inProceedings of the Natural Language Processing Workshop 2024, at 280-302 (Nikolaos Aletras, Ilias Chalkidis, Leslie Barrett, Cătălina Goanță, Daniel Preoțiuc-Pietro & Gerasimos Spanakis eds., Association for Computational Linguistics 2024). [WWW]