Law Enforcement
powered by Digital Twins
Precision case triage for faster, fairer, and more resourceful prosecutions.
95.1%
The National Prosecuting Authority (NPA) reports high conviction rates of 95.1% in District Courts and 81.8% in Regional Courts, precisely because only the strongest cases are taken up
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Next Generation
Criminal Investigation
TOM Digital Twins and the AI Employment Agency ecosystem enables law enforcement professionals
to tackle increasingly sophisticated and complex criminal activity across the globe
The Challenges
95.1%
High NPA conviction rates are 95.1% in District Courts and 81.8% in Regional Courts, as only the strongest cases are prosecuted
Millions of criminal dockets are closed without resolution or returned to police due to insufficient evidence or procedural gaps, representing substantial wasted investigative effort and unpunished crime. This systemic inefficiency results in significant resource waste and economic costs, diverting billions in public funding and contributing to crime's overall burden on the GDP
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Key Points :
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Resources : High case volume, leading to backlogs.
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Procedures : Cases closed due to insufficient evidence.
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Insufficient Case Handling : Significant economic costs.
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Screening : Inconsistent when manual, subjective legal analysis.
Our Solution
Merlynn's AI Digital Twin, an expertise-driven prosecution propensity model, addresses core judicial challenges by simulating expert prosecutorial decisions to augment legal judgment, not replace it. Integrated at the police-to-prosecution handover, it drastically improves efficiency by automating case screening, projected to reduce futile prosecutions by 20-30%. This innovation directly translates into millions in budget and time savings by eliminating wasted effort. It also enhances fairness and consistency in expertise application by enforcing uniform criteria for case selection, thereby reducing arbitrary or biased decisions. Finally, it leverages AI technology to automate routine legal tasks, using Explainable AI to ensure transparency and guard against bias.
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Our Solution:
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Simulates expert prosecutorial decisions to augment legal judgment.
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Drastically improves efficiency by automating case screening.
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Directly leads to millions in budget and time savings by eliminating wasted effort.
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Enhances fairness and consistency in case selection by applying uniform criteria and using Explainable AI
20-30%
Projected reduction of futile prosecutions by 20-30%
The Impact
10%
Clearing even 10% of current non-viable cases earlier could significantly reduce backlogs and remand detention time
By automating case screening and simulating expert prosecutorial decisions, this expertise-driven model directly addresses universal challenges of resource waste, inefficiency, and inconsistent expertise commonly faced by agencies worldwide. Its proven ability to reduce futile prosecutions by 20-30% translates directly into millions in time and cost savings for any nation grappling with overwhelmed justice pipelines. Moreover, by enforcing uniform criteria and leveraging Explainable AI, it enhances fairness and consistency in case processing, demonstrating significant export potential to other countries facing similar bottlenecks where prosecutors receive cases not ready for action.​
