TechRegParser is an open-source multi-agent system that reads technology regulation statutes and produces a standardized, citation-verified structured extraction. You give it a statute PDF. It gives you back a JSON file where every obligation, definition, and structural element is represented in an identical schema, regardless of which jurisdiction wrote the law or how they formatted it.
Right now, if you want to build an AI tool that reasons about technology law, a compliance chatbot, a policy gap analyzer, a regulatory change tracker, a multi-jurisdiction comparison engine, you have to solve the statute-reading problem first. Your tool has to ingest raw statutory text, understand the formatting conventions of each jurisdiction, extract the obligations, normalize the terminology, and produce some internal representation it can query against.
Every tool that does this is solving the same problem independently, with different approaches, different quality levels, and different failure modes. It’s duplicated infrastructure.
TechRegParser replaces that duplicated effort with a single standardized extraction. The output JSON uses a fixed schema where every substantive obligation and defined term is captured with its exact statutory text and source section. So rather than asking your LLM a question based on a PDF, it can take in a JSON instead, which allows it to work remarkably better.