Incomplete and inaccurate criminal history records create challenges throughout the justice system. When arrest records are missing final dispositions, agencies must spend significant time and resources locating information, reconciling records, and submitting updates. Traditional manual case-by-case methods are costly, labor-intensive, and difficult to scale.
DispoLink transforms this process.
Developed by Mission Critical Partners, DispoLink is a machine learning platform that identifies high-probability disposition matches with data already contained in repository agency records and expands to include high-probability matches from partner datasets (courts, prosecution, and others). By applying advanced analytics and machine learning across criminal history, court, and other data, DispoLink helps state agencies optimize their criminal history records by identifying and matching missing dispositions, improving record completeness, and establishing an ongoing data-quality program.
Automated Disposition Matching at Scale
DispoLink consolidates data from repositories, courts, prosecutors, and local justice systems into a centralized intelligence database. Its probabilistic matching engine analyzes millions of records to identify dispositions that may correspond with open arrests.
From manual recovery to continuous reconciliation
Traditional disposition recovery is performed manually, one case at a time. The process requires significant staff time and effort, creates costs, and makes it difficult to address large backlogs.
DispoLink provides a faster, scalable alternative. Instead of asking staff to manually search for every missing outcome, the platform:
- Analyzes large volumes of criminal history and court data
- Identifies potential matches using agency-defined confidence thresholds
- Presents high-confidence candidates for efficient review
- Incorporates user decisions to improve future matching
- Creates repository-ready update files
- Provides real-time visibility into progress and results
- Supports continuous disposition reconciliation over time
- Learns from user activity to automate common fixes within administrator-set limits.
- Filters out unlikely matches, saving staff review time.
- Identifies recurring issues in partner data to support lasting improvements.
Measurable Progress in Months—Not Years
MCP can help agencies make significant gains in CCH completeness within six months or less. It easily eclipses traditional manual methods, while saving money and effort and providing real-time progress measures.
The platform works within an agency’s existing tools, processes, and vendor environment, minimizing disruption while expanding the agency’s ability to improve record completeness.