Cross-document understanding
Go beyond keyword search. Our knowledge graph technology connects concepts across your entire document library, delivering answers that understand how your policies, codes, and procedures relate to each other.
The problem with traditional document search
Most AI search tools treat each document as an island. When a resident asks about building permits, they might get an answer from your zoning code — but miss the relevant sections in your municipal code, fee schedule, and application procedures.
Government documents don't exist in isolation. Your municipal code references your administrative regulations. Your policies cite state law. Your procedures depend on your organizational structure. Traditional search misses these connections.
How cross-document understanding works
Our knowledge graph builds a map of concepts, entities, and relationships across your entire document library. When we index your documents, we don't just extract text — we identify:
- •Entities — departments, roles, locations, dates, dollar amounts
- •Relationships — which policies govern which processes, who reports to whom
- •References — citations between documents, links to external regulations
- •Hierarchies — how codes, chapters, sections, and subsections nest together
When someone asks a question, the AI doesn't just search for matching keywords. It traverses the knowledge graph to find all relevant information, even when documents use different terminology or don't directly reference each other.
Example: A building permit question
"What do I need to build a deck on my house?"
Without cross-document understanding: The AI might find your building permit application form and return basic requirements.
With cross-document understanding: The AI connects information from:
- • Building permit requirements (Planning Department)
- • Zoning setback rules for your property type (Municipal Code)
- • Current fee schedule (Administrative Regulations)
- • Inspection process and timeline (Procedures Manual)
- • Contractor licensing requirements (State Law reference)
The result is a complete answer that anticipates follow-up questions — with citations to each source document.
Best for complex document libraries
Cross-document understanding delivers the most value when you have:
- • Large document libraries (thousands of pages)
- • Multiple interconnected document types (codes, policies, procedures)
- • Complex organizational structures
- • Documents that reference each other or external regulations
- • High-stakes questions where completeness matters
For smaller document sets or simpler use cases, our Professional plan's standard AI search may be all you need.
Interested in cross-document understanding?
This Enterprise feature connects your policies, codes, and procedures into a unified knowledge graph. Contact us to learn how it can work for your agency.