🇨🇦 Canadian SST Outcome Predictor

Social Security Tribunal of Canada - CPP, OAS & Employment Insurance Appeals

0.55
MCC Score
92.2%
AUC Score
16,001
Training Cases
LGB+LR+Claude Ensemble
Algorithm
Mar 2026
Data Updated

📊 Confidence Tiers (based on 3,768 cases)

High (≥75%): 98.4% accuracy - Strong predictive signal
Medium (60-75%): 50.0% accuracy - Moderate confidence
Low (<60%): 66.7% accuracy - Essentially uncertain
How to use: Paste the CPP disability appeal summary, OAS claim details, or EI appeal grounds. The model analyzes language patterns from 15,000+ SST decisions to predict appeal outcomes.
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.

80 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 SST outcome research. Manual assessment involves reviewing tribunal decisions, disability evidence, and procedural history — this Claude-enhanced tool delivers a calibrated prediction in under 10 seconds. Tool cost assumes $0.10 per analysis. Average case load of 12 hours used for capacity calculation.