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Portfolio-ready evidence

Contract Operations Case Study

A concise interview narrative, ten-minute demonstration path, and claim-safe evidence ledger for the complete ContractLedger AI lifecycle.

Portfolio thesis

Turn unstructured agreements into verified operational records without hiding the human decisions.

ContractLedger AI stages legacy data, separates drafts from official records, routes exceptions, reproduces effective terms, and converts dates into accountable work. Every material result remains tied to its source, reviewer, rule, and history.

7

Lifecycle releases

v0.2–v0.8

15

Evaluation cases

Fictional ground truth

7 / 13

Roles / permissions

Server enforced

101

Passing tests

2026-09-02 v1.0 baseline

Current demo state

Not found

Active contracts

Executed records only

Current demo state

Not found

Active suppliers

Not found pending onboarding

Current demo state

Not found

Open obligations

Not found calculated overdue

Current demo state

Not found

Open approvals

Not found blocked intakes

Case-study decisions

The product choices that make the workflow defensible rather than merely automated.

1

Draft ≠ official record

Reviewed proposals remain intakes. Only authorized executed agreements enter official totals and registers.

2

Source before confidence

Critical fields require a supporting page and quote or an explicit reviewer override reason.

3

Rules own operational decisions

Deterministic code controls approvals, arithmetic, overdue state, risk factors, and permissions.

4

History stays reproducible

Original terms, amendments, decisions, obligation events, and exported evidence remain linked.

Release evidence ledger

Each claim is paired with reproducible evidence and an explicit boundary.

ReleaseCapabilityVerified evidenceClaim boundary
v0.2Amendment lifecycleUSD 475,000 original + USD 75,000 verified amendment = USD 550,000 current value, with the original preserved.Reproducible fictional scenario; no legal-outcome claim.
v0.3Approval controlsFive versioned rules, immutable decisions, accountable owners, deadlines, and an executed-registration gate.The seeded 26-hour turnaround is fixture evidence.
v0.4Legacy migrationCSV/XLSX staging, mapping, normalization, duplicate review, correction export, transactional commit, and audited rollback.No real-company time-savings or duplicate-precision claim.
v0.5Obligation executionFive seeded obligations cover upcoming, overdue, evidence-required, and evidence-backed completion states.Completion metrics expose their small sample.
v0.6AI governanceFifteen controlled fictional cases, field-level ground truth, source coverage, correction evidence, and a regression gate.Accuracy must name its run, version, and sample size.
v0.7Quality and permissionsSeven workspace roles, thirteen named permissions, denied-write coverage, and page-level document preflight.Demonstrates policy controls, not enterprise IAM certification.
v0.8Operational handoffSource-aware review PDF, eight-factor supplier risk, and durable integration-outbox events.Integration-ready; external delivery is not active.

10-minute demo route

A paced path from business problem to measured evidence.

Evidence boundaries

What this portfolio deliberately does not claim.

  • No real-company time-savings percentage until repeated paired timing runs are saved.
  • No extraction-accuracy claim without a named completed run, dataset version, and sample size.
  • No legal-advice, negotiation-outcome, or contract-enforceability claim.
  • No production duplicate-precision claim without labeled false-positive and false-negative evidence.
  • No external-notification claim while outbox delivery remains intentionally unconfigured.

Timed workflow evidence

Repeat the same fictional scenario manually and with AI assistance. The median and sample size below are the only basis for a time-saving claim.

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Recording a timed run requires the AI governance permission. The saved evidence below is readable by every role.

ScenarioManual medianAssisted medianReductionEvidence
Recent runs

No timed runs recorded yet. Record at least 3 manual and 3 assisted runs of the same scenario before quoting a reduction.