AI-Powered Legal Infrastructure
Exploring how AI can help lawyers build better technical infrastructure—not to tell us what the law is, but to help us practice it more effectively.
Legal practice generates enormous amounts of structured information—checklists, conditions, defined terms, cross-references, deadlines. Yet we often manage this complexity with Word documents and email chains.
These projects explore a different approach: treating legal workflows as structured data, using AI to help build infrastructure that surfaces insights, tracks status, and reduces the cognitive load of complex transactions.
Click on a project to explore the live demo
A system for managing credit facility closings. Tracks documents, conditions precedent, defined terms, and generates closing checklists—treating the entire transaction as queryable, version-controlled data.
Beyond redlines: semantic comparison of legal documents that understands substantive vs. non-substantive changes, tracks defined term modifications, and highlights changes that actually matter.
Automated tracking of financial covenants across a loan portfolio. Parses quarterly financials, calculates ratios, flags potential breaches, and maintains compliance history over time.
Automatically extract and visualize deal timelines from transaction documents. Understands "T+5 Business Days" and other relative date references, generating clear Gantt-style views.