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cs.CL2025

A Reasoning-Focused Legal Retrieval Benchmark

Lucia Zheng, Neel Guha, Javokhir Arifov +5

As the legal community increasingly examines the use of large language models (LLMs) for various legal applications, legal AI developers have turned to retrieval-augmented LLMs ("R…

cs.CL2025

AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County

Faiz Surani, Mirac Suzgun, Vyoma Raman +3

Legal reform can be challenging in light of the volume, complexity, and interdependence of laws, codes, and records. One salient example of this challenge is the effort to restrict…

cs.CL2025

LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain

Joel Niklaus, Lucia Zheng, Arya D. McCarthy +7

Instruction tuning is an important step in making language models useful for direct user interaction. However, the legal domain is underrepresented in typical instruction datasets…

cs.CL2024

Statistical Uncertainty in Word Embeddings: GloVe-V

Andrea Vallebueno, Cassandra Handan-Nader, Christopher D. Manning +1

Static word embeddings are ubiquitous in computational social science applications and contribute to practical decision-making in a variety of fields including law and healthcare.…

cs.CL2024

Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools

Varun Magesh, Faiz Surani, Matthew Dahl +3

Legal practice has witnessed a sharp rise in products incorporating artificial intelligence (AI). Such tools are designed to assist with a wide range of core legal tasks, from sear…