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⚖ Federal Court โ€” JR Outcome Predictor

Predict whether a Federal Court judicial review application will be granted or dismissed. Covers immigration, administrative law, IP, tax, and more.

23,167
Cases Analyzed
0.808
ROC-AUC
0.66
MCC
47
Features
37%
Base Grant Rate
Data source: Sean Rehaag & Simon Wallace, “A2AJ Canadian Legal Data” (2025), online: GitHub https://github.com/a2aj-ca/canadian-legal-data (updated 2026).
Minimum: 250 chars | Ideal: 1,500-3,500 chars | Maximum: 5,000 chars
0 / 5,000 characters
💡 Not sure what to paste? The example cases below show the kind of detail this tool works best with — facts, evidence, legal issues, lower decision.
๐Ÿ“‹ Try an Example Case:
Based on 23,167 Federal Court decisions (2001-2026). LightGBM with isotonic calibration and 50 bootstrap-resampled models for confidence intervals. 76% are judicial review applications. Immigration cases make up the largest category. This tool is for informational purposes only and is not legal advice.

For Legal Professionals

Take this prediction further with the NorthLaw professional toolkit:

๐Ÿ“ Strategic Memo
Cite-rich brief tailored to your matter
๐Ÿ”ฌ Multi-Tool Analysis
Cross-reference predictions across tools
โš–๏ธ Opposing Counsel
See how the other side could argue
๐Ÿง  FC-JR Knowledge Graph
183 judges, case type analytics, trends
Learn more about Pro →

📊 Value Calculator for Lawyers

For legal professionals: estimate the value this tool brings to your practice. Drag the sliders and explore three ways to think about ROI.

80 cases
$375/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 judicial review outcome assessment. Manual evaluation involves reviewing administrative decisions, reasonableness standards, and procedural fairness issues — 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.