Legal knowledge graph
Typed entities and relationships represent authorities, rules, concepts, matters, and their dependencies.
Legal and tax intelligence
An institutional-grade intelligence system built to determine not merely whether legal material is relevant, but whether it can be applied to a specific question at a specific point in time.
The problem
Conventional retrieval can surface text that appears relevant while missing the legal conditions that determine whether it governs the matter at hand. NEXXOSAT was designed around that distinction.
The system connects legislation, jurisprudence, administrative criteria, doctrine, official authority, and regulatory change within one traceable reasoning architecture.
Technical architecture
The public architecture describes the reasoning design and engineering choices without exposing proprietary prompts, internal rules, credentials, or protected source material.
Typed entities and relationships represent authorities, rules, concepts, matters, and their dependencies.
Legal material is evaluated within its effective period rather than treated as timeless text.
Claims remain connected to official sources and the authority required to support them.
Retrieval is separated from the conditions that determine whether a rule applies.
The system preserves legal meaning across Spanish and English operating contexts.
Conclusions are constrained by inspectable evidence, confidence, and explicit reasoning paths.