Independent Research & Rigorous Evaluation of Legal AI Systems
We conduct deep, technical analysis of legal-domain AI systems — assessing reasoning, reliability, and regulatory alignment through transparent research and benchmark-driven evaluation.
Dual Expertise
We combine legal reasoning competency with frontier-model technical rigor — ensuring evaluations reflect both doctrinal accuracy and implementation realism.
Transparent Methodology
Every evaluation follows documented, reproducible criteria. We publish our methods openly to build trust and advance the field.
Benchmark-Driven Analysis
Our assessments rely on structured benchmarks tailored to statutory interpretation, case-law reasoning, and compliance obligations.
Our Work
Research Focus Areas
Technical Demonstrations
Working prototypes, agents, and evaluation harnesses that test how models perform on realistic legal tasks.
Legal Analysis & Insights
Deep dives into doctrinal reasoning, regulatory interpretation, and the implications of AI-assisted legal work.
Implementation Guidance
Practical patterns for integrating AI systems into legal workflows with appropriate safeguards and governance.
Industry & Regulatory Analysis
Landscape reviews, regulatory developments, and capability assessments across the legal AI ecosystem.
Latest
Recent Research
Evaluation
Comparative Assessment of Frontier Models on Legal Reasoning Tasks
A structured evaluation of leading AI systems on case-law analysis, statutory interpretation, and compliance-oriented reasoning.
Research
The State of Legal AI
A comprehensive overview of current legal AI capabilities, limitations, and open research questions.
Stay Updated With Ongoing Research
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