Integrated AI and legal research advancing how law is encoded into AI, and how AI agents can facilitate AI governance.
AI Agents are becoming autonomous actors. We are building agentic law to align them with societal values and enable high-stakes, safe deployments.
We develop various Turing Tests related to high-stakes real legal workflows. Norm will continue to build out that suite of benchmarks that only a technology company powering a full-service law firm can.
As AI drives the cost of intelligence toward zero, the bottleneck in the economy shifts to assurance of agentic legal systems. How do we ensure that AI systems act in ways that are legal, trustworthy, and enforceable?
Legal systems were built for human actors. As AI agents become economic and societal actors, law is their real-time alignment infrastructure. We investigate the systems by which AI agents will transact, be governed, and held liable.
Legal reasoning spans rule extraction, statutory interpretation, analogical reasoning, judgment under ambiguity, and more. Most academic benchmarks do not measure reasoning. We build the evaluation infrastructure for getting to the right answers the right way.
Why the latest generation of models is not yet production-ready for high-stakes legal work.
The latest generation of frontier models reaches the same conclusion on a legal question roughly 90% of the time. At scale, that gap still produces contradictory answers to the same question every single week.