Interactive Knowledge Graph Flow
Explore how SpaceLizit orchestrates complex immigration petitions, statutory compliance, DOL wage benchmarks, and client evidence through VeritasGraph. Every node represents an active legal entity linked by typed, auditable relationships for verifiable AI search.
Entity-Relationship Flow Diagram
Click on any colored entity pill to inspect its automation role, statutory citation grounding, and multi-hop traversal query path.
200+ Petitions & Filings
Automated petition generation for employment-based visas. Forms, specialty occupation letters, and formal USCIS submissions.
SpaceLizit Automation Role
Auto-populates 200+ USCIS and DOS forms from structured intake interviews with 100% field consistency and zero omissions.
VeritasGraph Source Attribution
Cross-checks petition field claims against statutory codes (8 CFR § 214.2) and verified client evidence.
Live Entity Graph Traversal
7 Core Entity Nodes Grounding SpaceLizit
Each radial node in the graph maps directly to an operational domain within immigration practice management, secured by VeritasGraph.
USCIS Petitions & Filings
Orchestrates automated form assembly for I-129, I-140, I-485, O-1, and L-1 petitions. Ensures cross-form field parity and statutory alignment with 8 CFR § 214.2 regulations.
Form Automation DetailsPetitioners & Law Firms
Provides managing attorneys and HR mobility sponsors with role-based governance, multi-attorney review boards, and immutable audit trails protected by attorney-client privilege.
Law Firm SolutionsImmigrant Beneficiaries
Processes candidate education credentials, foreign evaluations, and publications. Maps applicant CV timelines directly into O-1 or Dhanasar EB-2 NIW criterion fulfillment graphs.
Beneficiary WorkflowsRFE Prevention Engine
Scans drafts against 10,000+ historical USCIS denial patterns. Detects specialty occupation mismatches, wage tier ambiguities, and missing advisory opinions before submission.
RFE Shield EngineCase Evidence & Exhibits
Maintains an indexed evidence vault linking degrees, transcripts, expert reference letters, and paystubs. Every statement in the support letter includes exact page-and-paragraph citation indices.
Evidence VaultDOL LCA & Wage Standards
Syncs real-time O*NET SOC code taxonomies, Job Zones, and OFLC prevailing wage databases (Levels I–IV) across all MSA county jurisdictions to validate Form ETA-9035 parity.
Compliance StandardsStandard Vector RAG vs. VeritasGraph
Why traditional vector similarity searches fail in legal immigration, and why deterministic multi-hop graphs are required.
Standard Vector Search (Dense Embeddings)
Prone to hallucinations & citation drop
- ✕Chunk Loss: Documents are chopped into arbitrary 500-token chunks, severing the link between a petition claim and its primary exhibit.
- ✕Semantic Guessing: Matches words by statistical similarity rather than statutory rule logic.
- ✕No Relational Reasoning: Cannot answer multi-hop queries such as: "Does Beneficiary X's foreign degree satisfy SOC 15-1252 Wage Level II at Location Y?"
- ✕Black Box Citations: Generates plausible-sounding citations that may not correspond to verified case files.
VeritasGraph Multi-Hop GraphRAG
Deterministic, citation-grounded, zero hallucinations
- Deterministic Entity Nodes: Beneficiaries, employers, forms, wages, and exhibits exist as interconnected vertices with explicit typed edges.
- Multi-Hop Traversal: Traverses across 5+ relational layers in milliseconds to ensure full statutory cross-validation before filing.
- Exact Exhibit Pinpoints: Every assertion in an AI-drafted brief cites exact exhibit page, paragraph, and DOL prevailing wage code.
- Open-Source & Private: Built on open-source VeritasGraph architecture, deployable 100% on-premises for legal sovereignty.
Frequently Asked Questions
Understanding the role of VeritasGraph in source attribution and verifiable legal search.
How does SpaceLizit make sure AI answers are accurate?
SpaceLizit grounds search and AI answers using the open-source VeritasGraph GraphRAG framework. Rather than guessing based on vector similarity, VeritasGraph reasons over a structured knowledge graph to return every answer with verifiable statutory citations, client document references, and an auditable reasoning path.
What is VeritasGraph and why does SpaceLizit use it?
VeritasGraph is an open-source GraphRAG knowledge-graph framework that combines graph databases with large language models to enable multi-hop reasoning and verifiable source attribution. SpaceLizit uses it to interconnect complex case evidence, regulatory rules, and form fields with zero hallucinations.
How does knowledge-graph multi-hop reasoning prevent legal hallucinations?
Unlike standard vector search which only looks for similar text chunks, knowledge-graph multi-hop reasoning traverses explicit relationships across distinct documents—such as verifying that an employee's degree matches SOC code requirements across foreign evaluations, LCA wage levels, and I-129 criteria.
Where can I view the VeritasGraph source code and documentation?
You can inspect the source code on the VeritasGraph GitHub repository and view the implementation details on our Technology Architecture page.
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