Manual document review couldn't scale
Oil and gas companies manage millions of scanned legal documents governing land ownership and mineral rights. Many are decades old, unstructured, and difficult to search. Manual review is expensive, slow, and introduces risk into critical business decisions where accuracy, compliance, and auditability are essential.
AI-automated document intelligence
Factored developed an AI-powered document processing platform that automates classification, extraction, and validation across large collections of legal documents.
Organizations can upload millions of documents and receive structured, traceable data in hours instead of months. Every extracted field is linked back to its original source, improving transparency, reducing manual effort, and accelerating compliance-sensitive workflows.
Production AI built for enterprise scale
The solution combines intelligent document processing, optical character recognition (OCR), and large language models within a cloud-native architecture designed for high-volume workloads.
Distributed processing automatically classifies documents, extracts structured information, validates results, and routes low-confidence outputs for human review. Enterprise data is stored within a scalable lakehouse architecture, providing reliable audit trails, operational transparency, and cost-efficient processing for millions of documents.
Millions of documents. Hours instead of months.
The solution transformed document processing for a Fortune 100 oil and gas organization by:
- Reducing document review timelines from months to hours.
- Processing more than 200,000 documents (approximately 3 million pages) in under one hour during production-scale testing.
- Improving compliance through fully traceable AI-generated outputs and human review workflows.
- Dramatically reducing manual effort while enabling large-scale document intelligence across critical legal records.
