Your Documents Are Not Paper. They Are Structured Knowledge Waiting to Be Activated.
The document intelligence engine that transforms any document into AI-ready knowledge assets: structured metadata, JSON fields, contextual summaries, timeline, and integrated knowledge base. In 72 hours.
Premium architecture for executive control
The Archive of the Last 20 Years: Buried Knowledge AI Cannot Read
Documents That Exist but Nobody Can Use
Your company has decades of contracts, reports, minutes, and case files. They are in PDFs, images, and unstructured network folders. An AI system cannot learn from them as they are: it needs extracted text, identified fields, and defined context. Without that layer of document intelligence, your historical archive is noise, not knowledge.
Critical Knowledge That Leaves with People
Your senior court expert retires in 6 months. His knowledge from 3,000 cases is not in any system: it is in his head. If it is not extracted, structured, and contextualized before he leaves, that competitive advantage disappears forever. There is no going back. Document Intelligence makes accessible what has until now depended on individuals.
AI Without Documentary Context Is Blind AI
You have decided to implement AI in your company. But AI is only as good as the knowledge that feeds it. Without structured documents — with metadata, temporal context, and relationships between files — AI answers with generalities. With Document Intelligence, it answers with your company’s exact history.
The Document Intelligence Pipeline: 8 Knowledge Layers per Document
Legacy Archivist is not OCR with a polished name. It is an 8-layer document intelligence pipeline that turns any document — physical, digital, scanned, photographed — into a structured, contextualized, AI-ready knowledge asset.
"You have decades of corporate knowledge buried in documents no AI system can interpret. With Document Intelligence, that archive becomes a real competitive advantage."
Text Extraction
Industrial-grade OCR on any format: PDF, image, scanned, photographed, or printed.
Structured NLP
Identification of entities, dates, parties, figures, and relationships in the extracted text.
JSON Field Extraction
Key data exported in structured format reusable by any system or API.
Metadata and Meta Tags
Automatic classification and semantic tagging by document type, category, and content.
Contextual Summary
Document synthesis: purpose, involved parties, commitments, and key context.
Temporal Context
The document is positioned in its timeline and linked to documents from the same case file.
Document Purpose
Type, function, legal, or contractual status: the system knows exactly what each document is.
Structured KB Integration
The document is integrated into the file, contract, or case with unique and traceable identifiers.
The result: every document is locatable, citable, and understandable for any AI system.
Frictionless Integration. In Weeks, Not Months.
Inventory and estimate
You send us a sample of 100 representative pages. We calculate the exact time and cost of full processing.
Pipeline configuration
We prepare the Document Intelligence pipeline for your formats and document structure. We define the JSON fields to extract and the metadata schema.
Batch processing
The pipeline processes documents asynchronously. You receive daily progress reports with OCR quality control.
Validation and delivery
We deliver the structured database on your server and the exported Markdown documents. Ready to connect to the Cortex.
Real Scenarios
80,000 pages of historical filings and contracts in PDF. No extracted fields, no indexed dates, no client locatable in seconds.
Client history queries: from 30 minutes to 30 seconds.
15 years of ISO procedure manuals, datasheets, and quality reports in paper and unstructured PDF format.
ISO audit completed in 3 days vs. 3 weeks the previous year.
Senior court expert with 25 years in the company, retiring in 6 months. 3,000 historical cases in his head. Not indexed.
Critical knowledge preserved before retirement.
Why AuroraCortex
| Aspect | Basic Digitization / Simple OCR | Legacy Archivist — Document Intelligence |
|---|---|---|
Text extraction |
Yes, plain text |
Yes, with perspective and noise correction (>97%) |
Fields extracted in JSON |
No |
Yes — dates, parties, figures, key entities |
Metadata and meta tags |
No |
Yes, automatic by document type |
Document contextual summary |
No |
Yes — purpose, parties, commitments |
Temporal context and adjacency |
No |
Yes — places the document in its case file |
Structured KB integration |
No |
Yes — with unique identifiers per file |
Ready for AI ingestion |
Partial (text without structure) |
Complete — context, structure, and relationships |
Timeline between documents |
No |
Premium module — ingestion with temporal chaining |
An AI system needs more than text: it needs to know what type of document it is, who signed it, when, which commitments it contains, and how it relates to other documents in the same case. Without that structure, AI does keyword search, not understanding. Document Intelligence turns the 80% of your company’s unstructured information (Gartner) into assets an AI can reason over.
Source: Gartner ResearchInvestment and Return
Price per processed page. No hidden costs. Setup included in large orders.
Base Processing
€1,500
€0.10/page
Minimum 5,000 pages
8 layers of Document Intelligence per document
JSON fields + metadata + contextual summary
Structured KB integration
Setup included for orders >50,000 pages
Free 100-page sample
Full Project
Setup included
Contact us
Volume >50,000 documents
Urgent processing available
Secure deletion certificate
Secure Knowledge Cortex bundle (15% discount)
Timeline — UPSELL
Contact us
+add-on over base
Temporal chaining between documents
Relationships between files and contracts
Evolutionary context for AI: it understands the story
Ideal for law firms, accounting firms, and complex case files
Billed separately — quoted by volume