[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"raw-en-use-cases\u002Flegal-compliance":3},"---\ntitle: IQ:NS for Legal & Compliance\ndescription: Structured ontologies for legal teams navigating multi-framework AI requirements.\nlang: en\nnavigation:\n  section: use-cases\n  label: Legal \u002F Compliance\n  order: 20\n---\n\n# IQ:NS for Legal & Compliance\n\n## The challenge\n\nLegal and compliance teams translate rules, policies, and operational requirements into executable requirements across multiple jurisdictions and models. AI introduces overlapping terminology, changing requirements, and parallel models that resist manual synthesis.\n\n## What the ontologies provide\n\n- **Obligation profiling** — which rules and models apply to each AI system, with reasoned mappings from source texts into structured concepts\n- **Cross-model alignment** — see where GDPR, EU AI Act, NIST, and sector rules overlap or diverge in the `.\u002Fontologies\u002Fv1\u002F` models\n- **Change tracking** — when requirements update, the ontologies reflect what changed and what it affects\n- **Shared vocabulary** — legal and engineering teams work from the same structured definitions\n\n## How it fits\n\nThe ontologies don't replace legal judgement. They provide the structured foundation that makes interpretation consistent, auditable, and shareable across teams — sourced from the `.\u002Fontologies\u002Fv1\u002F` repository.\n\n[Explore the ontologies](https:\u002F\u002Fgithub.com\u002Fiqns-org\u002Fontologies) · [Get started](\u002Fgetting-started)\n",1776235631886]