Sarah B. Lawsky
Sarah B. Lawsky has 2 papers in our library, in 2023–2026, most of them on Legal AI, Evaluation & benchmarks, Reasoning; often with Jungo Kasai, Kristian J Hammond.
OpenAlex · h-index 10 · 37 works · 267 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 39 times in our library · ⭐ Paper Stars ranking: #7781
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 2 worksSocial Sciences · 2 works
🧭 Topics 3Research subjects and languages the work is about.Legal AI · 2 worksEvaluation & benchmarks · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence (2023 · 49 citations)
The paper asks how well large language models can apply law, using U.S. federal tax law as a testbed. Tax suits this purpose because its authority sits mainly in two fixed sources: the U.S. Code's Title 26 and the Treasury Regulations contained in the CFR. Many tax questions also have one verifiable answer that… - OpenExempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on Demand (2026 · 2 citations)
Static legal question-answer benchmarks are costly to annotate. They also reduce model behaviour to one accuracy number, which makes it hard to tell which reasoning skill actually failed. OpenExempt tackles this with a generator built on U.S. Bankruptcy Code (Title 11) asset-exemption law. Legal experts encoded…
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
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