Legal & Contracts

Employment Contract

Extract employee, role, compensation and term data from employment contracts for HR onboarding and records.

The Challenge

Employment contracts mix standard clauses with role-specific terms — salary, working hours, probation, notice, non-compete, benefits — across varied templates and languages. Extracting structured HR data while respecting sensitive personal data is key.

Industries

All industries; HR, legal, payroll, shared services.

Who Uses It

HR operations, onboarding, payroll, legal.

BASE Schema

Employee name — Text

Employer — Text

Job title — Text

Start date — Date

Salary / compensation — Number

Working hours — Text

Probation period — Text

Notice period — Text

Special clauses (non-compete etc.) — Text

Recommended pipeline settings — Context (applicable collective-agreement rules)

OPTIONAL Validation

Mandatory-clause completeness; salary/term plausibility; start-date and probation consistency; PII handling under GDPR.

Frequently ASked Questions

How can AI extract data from employment contracts?

It captures role, salary, hours, probation and notice terms into structured HR fields for onboarding and the personnel record.


Can contract extraction speed HR onboarding?

Yes — key terms flow straight into the HR system, removing manual data entry from each new hire’s contract.


Why automate employment-contract data capture?

It standardises personnel data, speeds onboarding and audits, and reduces manual handling of sensitive employee documents.

See more use cases.

Get inspired by further sample data schemas.

Create your own schema.

Cambrion helps structure your most complex documents.