Problem
What was broken or inefficient?
Officers need fast access to legal and procedural guidance, but public LLMs are not designed for governed, source-grounded law enforcement workflows.
Source-grounded legal intelligence for law enforcement agencies.
Built the complete LEO AI RAG platform for law enforcement legal intelligence, including retrieval pipelines, citations, guardrails, agency administration, officer access, and credit-based pricing.
Role
Founder, product architect, AI platform builder
Timeline
2025 - Present
Users
1,250+ officer reach
Problem
Officers need fast access to legal and procedural guidance, but public LLMs are not designed for governed, source-grounded law enforcement workflows.
Solution
LEO AI wraps retrieval, citations, guardrails, access control, and usage metering into an agency-ready product model that keeps answers tied to approved sources.
Feature Breakdown
The strongest work sits at the intersection of product judgment, technical architecture, and operating constraints.
Knowledge ingestion and retrieval pipeline
Citation-aware answer generation
Agency and officer administration
Credit ledger and usage tracking
Guardrails for approved-source grounding
Recruiter-safe operating model for public-sector AI
Outcomes
Lessons
Recruiter Takeaway
Mohammed can design, build, and commercialize secure AI systems that move beyond demos into governed operational use.
These are public-safe architecture layers: enough to show leadership judgment without exposing sensitive implementation detail.
Embeddings, retrieval, answer generation, and citation handling are designed as one governed workflow.
Role-based access and agency administration separate officer workflows from platform operations.
Credit consumption and usage metering support agency-level pricing and commercialization.

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