Publications
Exploring What’s Next in Law
Human-Machine Legal Preference Benchmarking
Read moreAbstract This study introduces an approach for evaluating legal Large Language Models (LLMs) through lawyer preference…
Conceptual Questions in Developing Expert-Annotated Data
Read moreAbstract In this paper, we argue that nuanced expert annotation often requires a significant rethinking of…
Forecasting Algorithms for Causal Inference with Panel Data
Read moreAbstract Conducting causal inference with panel data is a core challenge in social science research. We…
Defining, Building & Testing Legal AI
When we start a new project, we ask ourselves: What happens when legal expertise and frontier technology meet? Every prototype, paper, and simulation we work on is a part of that conversation, establishing roadmaps for how AI can open up new pathways for learning, evaluating, and practicing law. We’re building tools for today, while imagining what’s possible for tomorrow.