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Case File Extraction & Migration Service (Managed Services)

A specialized services firm that physically extracts, cleans, and migrates case data from legacy systems (COBOL mainframes, Access databases, fragmented file servers) into a modern cloud-native database with standardized schemas. The service includes data validation, deduplication, relationship mapping, and handoff documentation—done by a team of data engineers and domain experts who understand law enforcement case structures.

SERVICE

56 weeks • 70% confidence

Value Proposition

Avoids the 18–36 month, $10M+ custom software builds by outsourcing the hardest part (data extraction & cleaning). Agencies get clean, usable data in 4–6 months for $800K–$2M, with zero disruption to operations. Existing vendor lock-in broken; data becomes portable.

Target Audience

Federal enforcement agencies (ICE, CBP, DEA field offices) with 50K–500K legacy cases across 3+ disconnected systems

Key Features

  • On-site data archaeology: reverse-engineering legacy database schemas and file structures
  • Automated ETL pipelines for bulk extraction with manual QA checkpoints
  • Case relationship mapping (suspect-to-case, asset-to-case, location-to-case graphs)
  • And more, with full implementation detail...

Tech Stack

SQL Server, Oracle, PostgreSQL (legacy + target databases) Python (Pandas, SQLAlchemy for ETL) Apache Airflow or custom orchestration for migration pipelines FedRAMP-compliant cloud (AWS GovCloud, Azure Government)
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Original Problem

Government agencies struggle to modernize legacy case management systems for enforcement operations

Federal agencies like ICE are paying tens of millions to upgrade fragmented, outdated case management systems that can't efficiently track, organize, or analyze enforcement cases across multiple operations. Current solutions fail because legacy systems are siloed, lack real-time analytics, and create operational bottlenecks that slow critical enforcement missions and waste taxpayer money on inefficient processes.

Score: 27.2% • 3 demand signals