AI Built for Canadian Labour Relations
Labour relations should be human. AI should make it less bureaucratic — not less human.
Grounded in your collective agreement, your case evidence, and a curated Canadian labour relations corpus. Built on Anthropic Claude. AI assists; humans decide.
Cites the articles and provisions it relies on, so reviewers can verify the reasoning.
Built by the editor of Canadian Labour Arbitration (Brown & Beatty) — the reference text Canadian arbitrators cite.
Where AI Shows Up in Sertus
AI is woven into the labour relations workflow you already run — never as a black box, always anchored to the documents and facts in your account.
Across Your Workflow
- Case assessment: Strengths, weaknesses, risks, and recommended approaches surfaced for every grievance
- Scenario checker: Test a discipline, policy change, or termination against the agreement before it becomes a grievance
- Drafts and summaries: Step-meeting talking points, response letters, settlement proposals, and meeting summaries — drafted for human review
- Agreement chat: Ask natural-language questions across your collective agreements and get answers tied to specific articles
- Complaint analysis: Informal complaints assessed against the agreement early — before they escalate to formal grievances
Grounded in What Matters
- Your collective agreement: The actual agreement uploaded to your account, parsed into articles and clauses
- Your case evidence and history: The grievance record, evidence, notes, and outcomes inside your organization
- Sertus’s Canadian labour corpus: An original, proprietary corpus of Canadian labour relations content authored by co-founder Adam Beatty for the Sertus platform
- Built on Anthropic Claude: Sertus uses Claude models accessed via the Anthropic API — selected for safety, factual grounding, and long-document analysis
- Not generic web data: AI reasoning does not depend on open-web sources for labour relations content
What Sertus AI Will and Won't Do
Clear lines, set on purpose. AI accelerates the analysis; your team makes the calls.
AI Will
- Surface strengths, weaknesses, and risks from both sides of a grievance
- Identify the specific articles and provisions of your agreement that apply
- Draft correspondence, memos, and summaries for your team to review and edit
- Cite the source for each conclusion so reviewers can verify the reasoning
- Cross-reference similar past grievances inside your organization
AI Won't
- Train on your data — Anthropic does not use customer inputs or outputs to train its models
- Make automated decisions about a worker, a grievance, or a discipline matter
- Send correspondence, file a grievance, or execute an outcome on its own
- Reach across organizations — every AI request is scoped to the authenticated user's organization
- Reason from generic web content for labour relations conclusions
Built for Sensitive Records
AI safeguards sit on top of the same security posture Sertus applies to every grievance and document.
- Canadian data residency: Customer data stored in Canadian cloud regions; AI inference disclosed on the sub-processor list
- PIPEDA-aligned handling: Designed against PIPEDA principles for Canadian personal information
- Single sign-on (SSO): Centrally managed and revoked through your identity provider
- Append-only audit trail: Sign-ins, grievance lifecycle changes, document access, and administrative actions recorded with timestamp and actor
See Sertus AI on Your Own Case
Book a 30-minute demo. We'll walk through how AI handles a sample grievance against a real collective agreement — and show how the safeguards work in practice.
Last updated: May 2026