Legislative Impact Mapping
A reform lands and no one knows the full exposure. AI-powered impact analysis built on Evidence Packs, Knowledge Graphs, and AI Guardrails.
“There is nothing either good or bad, but thinking makes it so.
Reforms land faster than analysis can follow
Legislative reform is a fact of life for government agencies. But understanding the full downstream impact of a reform across dozens of statutory plans? That's a structural problem that manual processes weren't designed for.
"A 72-page reform document just landed. How many of our plans does it affect?"
Cross-referencing manually, one document at a time. Reading every provision, checking every plan, hoping nothing gets missed.
"Which provisions trigger Treaty consultation obligations?"
Treaty, heritage, and habitat obligations assessed in isolation. Each advisor checks their own domain, but nobody sees the full picture.
"I need a briefing pack by Friday. The reform was published Monday."
Analyst time measured in months, not hours. The reform is urgent, but the analysis process wasn't designed for urgency.
"We have 50 statutory plans. Nobody knows the full exposure."
Institutional memory about plan interdependencies is informal. Knowledge lives in people's heads, not in systems.
It's not about more analysts
The problem isn't that your analysts aren't thorough. The problem is that cross-referencing a complex reform against 50+ statutory documents is a structural challenge that manual processes weren't designed for.
One reform. Dozens of plans. Hundreds of provisions. Thousands of relationships. Months of analyst time.
Typical document estate for a large government agency. Each plan with its own provisions, obligations, and cross-references.
Impacts that need assessment from a single reform. Each provision potentially affected in different ways.
Typical analyst turnaround for comprehensive impact assessment. Reforms don't wait for analysis to finish.
Nobody has a complete picture of cross-cutting exposure. Institutional knowledge is informal, fragmented, and exits when people leave.
AI that maps your entire estate, so analysts can focus on strategy
We don't replace policy analysts. We eliminate the structural bottleneck of manual cross-referencing across a large document estate. Your experts focus on interpretation and strategy. The system handles mapping and exposure analysis.
Knowledge Graph Construction
Map every provision, relationship, and obligation across your entire document estate — connecting legislation, iwi relationships, habitat designations, and commercial authorities into one queryable structure.
Instant Impact Simulation
Load a reform document and instantly identify what's exposed, how severely, and where consultation is required — across your entire estate.
From reform document to briefing pack
A systematic process that maps your estate, builds relationships, and simulates impact the moment a reform arrives.
Map your document estate
All statutory plans, provisions, relationships, and obligations mapped into a single knowledge graph.
Every plan, every provision, every cross-reference captured systematically. The knowledge graph becomes the single source of truth for your entire document estate.
Build relationship graph
Connect legislation references, iwi relationships, threatened species habitats, commercial authorities, and cross-cutting obligations.
Relationships between provisions, plans, and obligations are made explicit. What was informal institutional knowledge becomes queryable structure.
Load the reform document
The reform document is ingested and its provisions mapped against your estate.
Every clause, every amendment, every new requirement is parsed and aligned to the relevant parts of your document estate. The system understands what the reform changes and where those changes land.
Run impact simulation
AI identifies every provision exposed to the reform, scores severity, and flags where consultation is required.
Impact scoring considers direct exposure, cascading effects through the relationship graph, and specific obligation triggers including Treaty consultation, habitat assessment, and heritage protection requirements.
Generate briefing packs
Per-plan briefing narratives generated in your agency's policy language, ready for analyst review.
Each briefing pack includes the specific provisions affected, severity scores, consultation requirements, and recommended next steps, all written in your agency's terminology and policy conventions.
Analyst review and refinement
Your analysts review AI-generated briefings, add context, and refine the assessment before it reaches decision-makers.
This isn't about replacing analyst judgment. It's about giving analysts a comprehensive first draft to work from, rather than asking them to start from scratch across 50+ plans.
What changes
Mapped into a single queryable knowledge graph. Every provision, every relationship, every obligation.
Cross-referenced against the reform document. Every exposure identified, every impact scored.
Flagged for immediate attention. Treaty consultation, habitat assessment, and heritage obligations identified.
From reform document to briefing pack. Per-plan narratives ready for analyst review.
The questions you should ask
"Legislative interpretation requires human judgment."
Absolutely. AI maps relationships and flags exposure. Human experts interpret meaning and make decisions. The system tells them where to look, not what to think. Your analysts spend time on interpretation, not on manually cross-referencing 50 plans against a 72-page reform document.
"Our document estate is too complex."
Complex estates benefit most from systematic mapping. The more plans, more provisions, more relationships, the harder it is for manual processes to maintain complete coverage. Complexity is the reason to use this approach, not a barrier to it.
"We've tried knowledge graphs before."
Generic knowledge graphs lack domain understanding. Ours are built with your ontology, your terminology, your relationships, your obligations. The graph reflects how your agency actually works, not a generic data model imposed from outside.
"What about Treaty obligations?"
Treaty consultation requirements are flagged automatically based on the specific provisions affected. The system identifies which iwi relationships are engaged, which consultation obligations are triggered, and which plans require specific Treaty-related assessment. Systemic assessment, not ad hoc.
Built on Evidence-First AI
Legislative impact mapping is powered by the three pillars of our Evidence-First AI platform.
