ContractIQ extracts structured data from any contract — parties, dates, payment terms, obligations, governing law — and pushes it directly into your ERP via webhook. With a human-in-the-loop review step for every field the model isn't certain about.
Built for Canadian enterprises. Every byte stays in Canada.
It's the 92 minutes your team spends re-keying each one into the ERP. Multiplied by 400 contracts a year. That's 600 hours of work that adds zero value — and introduces transcription errors that haunt you at audit time.
We had a subcontractor dispute over payment terms that went to arbitration. Turned out the ERP had the wrong milestone date — someone misread the handwriting on the scanned PDF.
Our renewal window was 90 days. The contract was in SharePoint. Nobody flagged it. We auto-renewed at the old rate for another three years.
Legal reviewed the contract. Finance entered the data. IT ran the ERP. Three teams, three interpretations of the same clause. The audit found all three were wrong.
Every stage is visible, auditable, and reversible. Nothing moves to the next step without either machine confidence or human sign-off.
Upload PDF, DOCX, or scanned contracts via drag-and-drop, or connect a source — SharePoint, OneDrive, S3, or email attachment. Batch ingestion handles entire folders. Each file is version-stamped and stored with a tamper-evident hash before processing begins.
Drop contracts here
PDF, DOCX, scanned images · up to 50 MB
Subcontract_Apex_2026.pdf
1.2 MB
MSA_TechVendor_v3.docx
890 KB
Lease_Agreement_Calgary.pdf
2.4 MB
The LLM reads the full contract and maps it to a structured schema — parties, values, dates, milestones, payment terms, retention, LD clauses, governing law, and 40+ more fields. Each extracted value is returned with a confidence percentage based on the model's certainty about the source text.
High-confidence fields flow through automatically. Fields below the threshold surface in the review queue with the exact source sentence highlighted in the original document. Reviewers see the evidence, not just the extracted value — so corrections are informed, not guesswork.
Why this matters
A typical 400-contract portfolio has ~12 fields per contract. At 97% accuracy, that's 144 field errors per year reaching the ERP silently. The HITL queue catches them before they do.
Once validated, every contract feeds the portfolio dashboard. Risk scores aggregate across your entire book. Obligation dates surface in a unified calendar. Renewal windows trigger configurable alerts before the window closes. You see the whole picture — not just the last contract you touched.
Validated contract data is dispatched via configurable webhooks in the exact JSON shape your ERP or downstream system expects. Every push is logged with the full request body, HTTP response, and timestamp — so you have a complete audit trail from PDF to database record, with no manual re-keying in the chain.
Not a legal review tool. Not a CLM with a 12-month implementation. A data infrastructure layer that plugs into the ERP stack you already have.
Every field comes with a confidence score. High-confidence data flows straight through. Low-confidence fields surface in the review queue — no silent errors, no manual scanning.
Reviewers see exactly which fields the model is uncertain about, with source snippets from the original document. Approve, correct, or flag — then commit to the ERP in one click.
Validated structured data is dispatched via configurable webhooks to NetSuite, Dynamics 365, SAP, Sage Intacct, or any custom endpoint. Request and response logs are retained for audit.
The LLM scores each contract 0–100 and surfaces specific risk findings with severity levels and remediation guidance. Risk distribution rolls up to a portfolio-level dashboard widget.
Key dates and renewal obligations extracted from every contract, displayed in timeline and calendar views. Configurable email alerts fire before deadlines — no more missed renewals.
Flag any clause during review to save it to the shared library. Search, categorize, and reuse standard language across your contract portfolio. Institutional knowledge, not tribal knowledge.
Select any two contracts and see a field-by-field diff. Match, Different, and Only-in-A/B badges make deviations from standard terms immediately visible.
KPI cards, risk distribution charts, contract volume trends, and top-vendor panels give Finance and Legal leadership a real-time view of the contract portfolio.
Pull contracts directly from AWS S3, Microsoft OneDrive, SharePoint, or Agiloft CLM. Configure sync schedules per connector. New contracts enter the extraction pipeline automatically.
Full-text search across all contracts with type, stage, date range, and tag filters. Colour-coded tags let teams segment by business unit, risk tier, or renewal cohort.
Configurable email alerts fire before obligation deadlines — set lead times from 7 to 90 days. Notification logs track every alert sent, with PIPEDA-compliant data handling throughout.
Every pipeline event — upload, extraction, field edit, approval, validation, export, risk scoring — is logged with actor, timestamp, and delta. Full traceability for internal audit and regulatory review.
No upload required. Load a sample contract and walk through the full AI extraction pipeline in under two minutes.
Structural steel subcontract for Pearson Airport Terminal Expansion. CAD $4.75M fixed price, Ontario jurisdiction.
5-year commercial office lease in Vancouver. 8,500 sq ft, CAD $42.50/sq ft, two renewal options.
3-year SaaS subscription. CAD $180K/yr, Canadian data residency, PIPEDA compliant, 99.9% SLA.
Ironclad, Evisort, and Sirion are built for US enterprise legal teams with 6–18 month implementations and seat-based pricing. ContractIQ is built for Canadian Finance and Operations teams who need structured data in their ERP — not another legal workflow tool.
| Feature | ✦ ContractIQ | Ironclad | Evisort | Sirion | DocuSign CLM | Agiloft CLM | Manual Process |
|---|---|---|---|---|---|---|---|
Canadian data residency AWS ca-central-1 / Azure Canada Central | |||||||
PIPEDA compliance built-in Not an add-on — foundational to the architecture | |||||||
Per-field confidence scoring Every extracted field carries a model confidence score | partial | ||||||
Human-in-the-loop review UI Source-snippet-anchored field review, not just a diff view | partial | ||||||
ERP webhook export (configurable) NetSuite, Dynamics 365, SAP, Sage Intacct, custom endpoint | partial | partial | |||||
Obligation tracker with alerts Timeline + calendar views, configurable lead-time alerts | partial | ||||||
Contract risk scoring (LLM) 0–100 score with per-finding severity and remediation | partial | partial | |||||
Clause library Flag from review, search, categorize, reuse | partial | ||||||
Audit trail per contract Every pipeline event logged with user, timestamp, and delta | partial | ||||||
Portfolio analytics dashboard Risk distribution, contract volume, top vendors | partial | partial | |||||
API-first architecture tRPC + webhook-first design, no vendor lock-in | partial | partial | |||||
Per-contract pricing No seat licences — pay for what you process |
Competitive assessment based on publicly available documentation as of Q2 2026. "Partial" indicates the feature exists but requires additional configuration or add-on licensing.
Every byte of your contract data stays within Canadian borders. Not as a configuration option — as an architectural constraint.
A mid-size Canadian general contractor processes 400 subcontracts per year. At 92 minutes of manual data entry per contract, that's 613 hours — roughly one full-time employee — spent on work that produces no business value and introduces errors.
ContractIQ reduces that to under 60 seconds of automated extraction plus a focused human review of only the fields the model is uncertain about. Most contracts clear review in under 5 minutes.
Explore the live demo with pre-loaded Canadian contracts, or request a private walkthrough with your own data.