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Helpful Places

Government of Canada – DTPR AI Register

AI-Assisted Court Outcome Prediction for Labour Relations

Risk Assessment & Triage

What it collects

Operational data
Anonymized data
  • Publicly available court cases sourced online, used as training and reference data for predicting labour relations case outcomes. The register states no personal information is involved.
Run by
Canada School of Public Service (CSPS)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization

What it is for

Risk Assessment & Triage

This tool helps Labour Relations Advisors at the Government of Canada predict how labour-related court cases are likely to be decided. It uses publicly available court case data to produce predictions, and is intended to support — not replace — the professional judgment of advisors. Users are informed that they are interacting with an AI system.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Publicly available court cases sourced online, used as training and reference data for predicting labour relations case outcomes. The register states no personal information is involved.

Processing

Classification & Prediction
  • A classification or prediction model trained on historical court case data to forecast the likely outcome of new labour-related cases. Described as a 'prediction tool' built on open-source foundations.

What it does

Deciding (Analytical AI)
Human decides
  • The system classifies and scores court case inputs to predict likely outcomes with high accuracy. A Labour Relations Advisor reviews the prediction and decides how to act; the AI is advisory.

Outputs

A recommendation or prediction
Anonymized data
  • A predicted court outcome (e.g. likely to succeed or fail) produced for a Labour Relations Advisor. The output is advisory — the advisor decides how to use it. No personal information about individuals is produced.

Run by

Canada School of Public Service (CSPS)
  • Federal government department responsible for deploying this AI prediction tool for use by GC employees, specifically Labour Relations Advisors.

Government of Canada AI Register — 2526-CSPS-EFPC-003

Built by

Thaimis
  • Private vendor that developed and supplies the court outcome prediction AI system built on open-source components.

Government of Canada AI Register — 2526-CSPS-EFPC-003

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs (court outcome predictions) are available to GC employees, specifically Labour Relations Advisors at the Canada School of Public Service. The register does not describe access by external parties.

Stored

Not stated by the Helpful Places.

How to read the colours

Can it identify you?

Anonymized data
Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data
Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data
The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides
This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes
This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous
This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the Helpful Places, not the vendor.

Your rights

  • Right to Be Informed of AI UseUsers of this system are informed that they are interacting with an AI tool. The register confirms AI use is disclosed to users.
  • Right to Algorithmic TransparencyThe system is listed on the Government of Canada's public AI register, which provides information about its purpose, data sources, and capabilities. Users can consult this public registry for information about how the system works.

Risks and safeguards

  • Civil liberties harmPredictions about court outcomes in labour relations cases could inappropriately influence legal strategy or introduce systematic biases from historical case data.Safeguard: The tool is scoped to Labour Relations Advisors (not automated decision-making), AI use is disclosed to users, and the system is built on publicly available court data rather than personal information about individuals.