Build the infrastructure arbitration runs on.

Role overview

• Build and scale backend services for case ingestion, indexing, and retrieval.
• Own reliability, observability, and deployment for production workloads.
• Work closely with AI and product on the core case-brain architecture.

Role overview

• Develop models for evidence structuring, argument mapping, and matter analysis.
• Design evaluation pipelines with human-in-the-loop review for legal workflows.
• Translate arbitration domain requirements into production-ready AI features.

Role overview

• Ground product workflows in institutional rules and real arbitration practice.
• Support case structuring, procedural templates, and practitioner feedback loops.
• Bridge counsel, institutions, and the engineering team on domain accuracy.

Role overview

• Design interfaces for complex case records, timelines, and AI-assisted workflows.
• Prototype flows for counsel, tribunals, and institutional users.
• Partner with engineering to ship clear, defensible, high-trust product experiences.