🇨🇦 Canadian RAD Outcome Predictor

Refugee Appeal Division - Immigration and Refugee Board of Canada

0.78
MCC Score
96.3%
AUC Score
10,739
Training Cases
LGB+LR Ensemble
Algorithm
Dec 2024
Data Updated

📊 Confidence Tiers (based on 8,644 cases)

High (≥75%): 96.6% accuracy - Strong predictive signal
Medium (60-75%): 73.5% accuracy - Moderate confidence
Low (<60%): 56.0% accuracy - Consider additional factors
How to use: Paste the refugee claim summary, appeal grounds, or RPD decision excerpts. The model analyzes language patterns to predict whether the RAD will allow or dismiss the appeal.
0 characters Min: 250 | Ideal: 1500-3500 | Max: 5000
Try examples:

📊 Value Calculator

Estimate the value this tool brings to your practice. Drag the sliders and explore three ways to think about ROI.

100 cases
$350/hr

You spend fewer hours on outcome assessment and redirect that time to other billable work.

Hours freed/year
0
Revenue from freed hours
$0
Tool cost/year
$0
Return on investment
0x

Formula: hours freed = cases × 1.5 hrs  |  revenue = hours freed × hourly rate  |  tool cost = cases × $0.10

Assumes 1.5 hours saved per case on outcome research. A manual RAD assessment involves reviewing tribunal decisions, country conditions, and credibility factors — this tool delivers a calibrated prediction in under 10 seconds. Tool cost assumes $0.10 per analysis. Average case load of 15 hours used for capacity calculation.