4 papers
Barriers to Evidence in AI-Related Cases and the Privatization of Proof
Sarah H. Cen, Hannah Ismael, Lucia Zheng
Evidence lies at the core of litigation, but it is increasingly difficult to obtain in AI-related disputes. Even when a claimant's position has merit, cases are often settled or di…
Legal Retrieval for Public Defenders
Dominik Stammbach, Kylie Zhang, Patty Liu +4
AI tools are suggested as solutions to assist public agencies with heavy workloads. In public defense -- where a constitutional right to counsel meets the complexities of law, over…
AI-Assisted Moot Courts: Simulating Justice-Specific Questioning in Oral Arguments
Kylie Zhang, Nimra Nadeem, Lucia Zheng +2
In oral arguments, judges probe attorneys with questions about the factual record, legal claims, and the strength of their arguments. To prepare for this questioning, both law scho…
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…