INDUSTRY CAPSTONE
Contract & Policy Obligation Extractor with Risk Review
Build an AI-assisted document review workflow that extracts obligations, dates, values, responsibilities, and risk clauses into a structured register for human verification.
Portfolio Project
Decision Making
Enrollment Closed
Enrollment for this capstone is closed right now. Get an email the moment it reopens.
Duration2 Weeks
DeliverySelf Paced + Mentor Review
LevelIntermediate (Applied Document AI)
ResourcesSample contracts/policies, obligation schema, review template
Professional Capability Objective
Build an AI-assisted document review workflow that extracts obligations, dates, values, responsibilities, and risk clauses into a structured register for human verification. The capstone is designed around a build-and-validate workflow so the learner produces working evidence, not only conceptual recommendations.
Industry Challenge
Business professionals routinely review contracts, policies, and procedures for dates and obligations. Manual extraction is slow, but a fully automated legal conclusion is inappropriate; the useful target is structured extraction with evidence and human verification.
Your analysis must consider:
- ▶Define an extraction schema for obligations and metadata.
- ▶Parse documents while preserving page/section references.
- ▶Classify clauses into practical business categories.
- ▶Extract dates, values, parties, actions, and conditions.
- ▶Route uncertain or high-risk items to review.
- ▶Measure extraction accuracy on a labeled sample.
Why Employers Value This
Demonstrates your ability to:
- ▶Design structured extraction for long business documents.
- ▶Preserve traceability to source passages.
- ▶Build confidence-based human review.
- ▶Separate information extraction from legal judgment.
- ▶Route uncertain or high-risk items to review.
- ▶Measure extraction accuracy on a labeled sample.
Skills You'll Develop
Document parsing
Convert semi-structured documents into structured fields while preserving evidence for verification.
Entity extraction
Convert semi-structured documents into structured fields while preserving evidence for verification.
Clause classification
Adapt proven models to a focused business or technical use case and measure class-level performance.
Obligation registers
Structure responsibilities, dates, values, and review status into a usable operational register.
Confidence review
Use confidence and risk to determine what can pass automatically and what requires manual verification.
Professional Portfolio Deliverables
Obligation Extraction Pipeline
A workflow that turns documents into structured obligation records with source locations.
Risk Review Register
A sortable register of dates, responsibilities, financial/operational obligations, and review status.
Validation Protocol
Sampling plan, confidence thresholds, escalation rules, and reviewer checklist.
Industry-Recognized Certificate
Stand out with a verified certificate from NetZeroX AI.
What You Will Learn
- Design structured extraction for long business documents.
- Preserve traceability to source passages.
- Build confidence-based human review.
- Separate information extraction from legal judgment.
Program Delivery & Engagement: 4 Stages
STAGE 1
Capstone Kick-off
Define schema and prepare sample documents.
→
STAGE 2
Build & Analysis
Build parsing and extraction workflow.
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STAGE 3
Practitioner Review
Validate against a labeled sample and tune review thresholds.
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STAGE 4
Final Submission & Demo
Present the obligation register, evidence links, and validation protocol.
Completion standard: submit the working artifact, evaluation evidence, limitations, and a short final presentation. The certificate should reflect demonstrated capability rather than content consumption alone.
Analyse. Compare. Recommend. Lead with Confidence.
Build in-demand commercial and analytical skills. Solve real energy & AI challenges.
Enrollment Closed
Enrollment for this capstone is closed right now. Get an email the moment it reopens.
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