PolicyGraph
An ontology-learning app for compliance and legal-ops teams that turns a stack of policy PDFs into a navigable graph of obligations, exceptions, and definitions.
compliance officers at mid-size companies drowning in policy and regulatory documents
- Upload a folder of policies/regulations and get a structured graph of terms, obligations, and exceptions
- Cross-document conflict detection ("Policy A says X; Regulation B says not-X in these cases")
- Plain-English summary of any node in the graph for non-lawyer stakeholders
- Audit trail showing which source paragraph every extracted claim came from
OntoLearner proves the underlying ontology-learning pipeline is finally cross-domain and reproducible — the missing piece for a real compliance product rather than a research demo.
Compliance teams explicitly report drowning in regulatory paperwork and document review; White & Case 2025 benchmarking survey and KPMG 2025 both cite manual document review as the top pain point LLM tooling can solve.Artificial intelligence in the compliance function ↗Compliance Automation: How to Stop Drowning in Regulatory Paperwork ↗
GRC space is crowded (Vanta, Drata, LogicGate, NAVEX PolicyTech, OneTrust, ServiceNow GRC) but ontology/graph-of-obligations as a first-class UI is niche — only small players like ComplyOne are explicitly building W3C OWL compliance knowledge graphs.Best GRC & Policy Management Software 2026: Comparison - Kurums ↗Why We Built a Compliance Ontology Using W3C OWL and SPARQL ↗
Proven B2B willingness to pay — policy management software market is $1.97B in 2024 growing ~9-12% CAGR; Vanta/Drata/LogicGate price in the $10k-$50k+/yr range and incumbents are clearly monetizing automation features.Policy Management Software Market Size, Share & Forecast 2032 ↗Best GRC & Policy Management Software 2026: Comparison - Kurums ↗
Regulatory volume keeps growing and compliance is mandatory and budget-protected; AI-driven compliance transformation is a multi-year secular shift, not a fad.How AI is poised to reshape compliance functions (KPMG 2025) ↗
OntoLearner plus mature graph stores (Neo4j, Apache Jena) make the core pipeline buildable, but the navigable graph UX, exception/conflict handling, and ongoing ontology maintenance against changing regs is non-trivial for a small team.Ontological Memory for Compliance: Turning Regulations into Executable Knowledge ↗