Client: Confidential Public Office
Solution: NLP-based digitization and search of historical documents
Outcome: 70% reduction in archival retrieval time
Project Summary:
LumenPath developed a powerful AI-based document intelligence platform for a government agency seeking to modernize its physical archives. The project involved digitizing decades of paper-based records and enabling semantic search, auto-tagging, and classification of documents in Arabic and English.
Solution Highlights:
- Optical Character Recognition (OCR) for multilingual printed and handwritten text
- Natural Language Processing (NLP) for intelligent content classification
- Search engine powered by AI to find documents by topic, date, or entity
- Role-based access control for sensitive government data
- Cloud deployment for scalability and secure remote access
Impact Delivered:
- 70% reduction in manual search and retrieval time
- Improved transparency and traceability of official records
- Prepared the agency for paperless governance and audit compliance
- Enabled integration with future e-Government services
Why It Matters:
This project demonstrated how AI can unlock institutional memory and preserve national history, while dramatically increasing operational efficiency within public sector workflows.
