The Privacy-First
AI Stack

A technical field guide for Law Enforcement & Academia. Facilitating secure, air-gapped intelligence analysis on institutional hardware.

Institutional Data Security

Intelligence Without Egress

The shift to open-weight models allows for compliance with strict CJIS and IRB standards. By running models locally, agencies maintain absolute custody of digital evidence and research data.

Recommended Models

Click on any card below to view detailed technical specifications.

Meta

Llama 3.1

General Purpose Analysis

The industry standard for report summarization and synthesis. Highly stable with broad ecosystem support for standard hardware.

Rec: 70B Parameter View Specs →
OpenAI

gpt-oss

Research Agent

An "agentic" model designed to connect data points across offline databases and perform autonomous research tasks.

Rec: 120B / 20B View Specs →
Alibaba

Qwen3-VL

Vision Language

Specialized in video and image analysis. Capable of analyzing CCTV or bodycam footage timestamps locally.

Rec: Video Analysis View Specs →
Mistral AI

Ministral-3

Edge Compute

Optimized for field laptops and devices with limited compute. Ideal for patrol cars or remote field research.

Rec: Edge Use View Specs →
DeepSeek

DeepSeek-R1

Logic Engine

Utilizes Chain-of-Thought reasoning for complex logic puzzles, forensic accounting, and code verification.

Rec: Complex Logic View Specs →
Google

Gemma 3

Responsible AI

Focuses on safety and multilingual support. Excellent for public-facing tools or sensitive translation.

Rec: Translation View Specs →

Comparative Analysis

Model Primary Application Hardware Requirement Privacy Rating
Llama 3.1 General Reports Medium (70B) ★★★★★
Qwen3-VL Video Evidence High (VRAM) ★★★★★
Ministral-3 Field / Patrol Edge Very Low (Laptop) ★★★★★
DeepSeek-R1 Financial Crime Medium ★★★★☆
Gemma 3 Public Facing Tools Low ★★★★★