How LOGIC NOSH engineered an air-gapped enterprise RAG architecture over 500,000+ regulatory documents, eliminating model hallucinations and cutting manual research by 65%.
The client needed a private search architecture that could index 500,000 documents with complex tables and scanned text, return answers within 2 seconds, and strictly refuse to answer if verified source evidence did not exist.
Attorneys and compliance staff spent full days sifting through scanned agreements manually. Conventional keyword search failed on nuanced clauses, while public LLMs were barred by legal compliance.
A 10-week agile sprint. Weeks 1-3 focused on private VPC infrastructure and custom PDF parsing. Weeks 4-7 developed the hybrid retrieval and deterministic guardrail pipeline. Weeks 8-10 integrated the Next.js frontend with live document viewer.
Deployed self-hosted open-weights models (Llama 3.3 / Mistral) within an air-gapped AWS VPC to ensure 100% data sovereignty.
Implemented structural Markdown document chunking that preserves table hierarchies and clause numbers.
Engineered a deterministic output validator that checks that every sentence in the response has a verified source chunk citation.
We designed and engineered high-density operator dashboards, mobile workflows, and responsive telemetry consoles.
Conversational answer synthesis with clickable inline citations linked to highlighted PDF clauses.
Batch upload interface showing real-time OCR extraction, chunking validation, and embedding status.
Real-time accuracy dashboard monitoring retrieval recall, answer precision, and zero-hallucination benchmarks.
How operators, collectors, and end-users traverse the system from initial request to verified deterministic outcome.
Multi-column contractual PDFs are parsed into structural Markdown preserving clause hierarchies.
Benchmark: 99.4% AccDocuments are embedded into Qdrant alongside BM25 sparse lexical tokens for exact statutory lookups.
Benchmark: < 80msDeep neural reranker reorders top-50 candidates to pinpoint the precise legally binding sentence.
Benchmark: Top-5 PinpointAir-gapped model synthesizes summary with verified interactive links to original PDF coordinates.
Benchmark: 0% HallucinationDocuments are parsed into structured Markdown, embedded into a private Qdrant vector database, and retrieved via a hybrid BM25 + dense semantic reranking engine before synthesis by an isolated model.
OCR and layout-aware parser extracting text, tables, and hierarchies.
Air-gapped Qdrant cluster storing dense embeddings and sparse BM25 indices.
Cross-encoder scoring retrieved chunks for exact legal relevance.
Dedicated GPU instances (vLLM) running private verified models.
Deterministic validator confirming source quote match before rendering.
Core platform capabilities built for high-throughput reliability, auditability, and ergonomic interaction.
Combines conceptual semantic understanding with exact statute and case law keyword matching.
Every statement is mathematically grounded in retrieved text chunks with clickable source links.
Instantly renders and highlights the exact referenced paragraph in the original source contract.
Generates comprehensive compliance audit reports in PDF and Word formats in one click.
Clicking any generated claim automatically scrolls the PDF viewport to the exact bounding box.
Clear visual cues showing mathematical grounding scores for regulatory compliance peace-of-mind.
Real-time telemetry confirming 100% of data processing remains within isolated customer VPC nodes.
Quantifiable improvements verified in production following deployment.
Compliance teams complete audits in 5 hours instead of 15 hours.
14 enterprise legal pilots converted to multi-year annual subscriptions.
Zero verified hallucinations recorded across 100,000+ production queries.
Battle-tested frameworks, distributed runtimes, and databases selected for strict SLA adherence.
See how our core capabilities and business solutions align with this case study.
Private RAG, vector systems, autonomous workflows, and LLM fine-tuning.
Full-stack Next.js applications engineered for high reliability and throughput.
Streamline research, compliance, and core operational workflows with verified AI.
From technical architecture to high-converting enterprise launch.
Speak directly with our senior systems architects to evaluate technical constraints, explore architecture trade-offs, and outline an execution roadmap.
