Claims Pro AI evidence

Claims Pro AI evidence, without unsafe outcome claims.

A public explanation of what the Claims Pro controlled-pilot AI review path is for, what is evaluated, what gets logged and what remains buyer-reviewed. Eval reports and model cards are handled through controlled technical review or due diligence after qualification as methodology validation; buyer-side validation required. They are not public files, downloads or production model performance proof.

Evidence posture

Claims Pro stays evidence-gated on the public site.

The route explains the Claims Pro AI evaluation path and the deterministic baseline without implying production validation or autonomous decision-making.

Review-ready source-package offer Eval-gated AI path, deterministic-first Claims Pro AI evaluation path

Change Order & Claims Intelligence Pro

AI evidence status: eval_harness_only

Claims Pro is presented publicly as a controlled-pilot AI review path: deterministic evidence workflow plus eval harness methodology validation for clause extraction, narrative structuring and analogous case search.

Claims Pro AI features are activated in pilot under controlled discussion and require controlled technical review. Public site does not claim production availability, production validation, live model accuracy or public production model performance without buyer-specific validation and service-mode evaluation.

Controlled materials

Evidence files are not public downloads.

Eval reports can be reviewed in controlled technical review or due diligence after qualification as methodology validation, not public production model performance.
Model cards can be reviewed in controlled technical review or due diligence after qualification; buyer-side validation required.
Service-mode evaluation available during controlled technical review when a provider/model is configured.
No public eval report files, source code or ZIP downloads are exposed.

What Claims Pro AI is for

Review support for extraction, structuring and search.

The AI layer is framed as controlled review support, not legal, commercial or outcome automation.

Qualified buyer review of extraction, structuring and search evidence for Claims Pro controlled-pilot AI review.
Controlled technical review of eval harness methodology validation, model cards and known failure modes after qualification; buyer-side validation required.
A safe public explanation of the Claims Pro AI evaluation path without source files, public downloads, live model accuracy, production availability or production validation claims.

What AI does

Three bounded Claims Pro tasks.

Contract clause extraction with verifiable citation.
Change event narrative structuring.
Analogous case semantic search.

Deterministic baseline

The deterministic baseline still carries the workflow.

Claims Pro does not depend on AI to make the change-event review path understandable or auditable.

What the deterministic baseline still does

Rule-based review objects remain visible.

Evidence completeness review.
Missing-evidence signal review.
Evidence grouping.
Timeline reconstruction support.
Claim-readiness indicator review.
Open-action and review-state tracking.

Audit and evaluation

AI evidence is reviewed through logs and task metrics.

The page names audit-log concepts and eval harness metrics without publishing report files, claiming validated predictive ML or making a public production model performance claim.

What gets logged

Every AI output is designed for traceability where AI is enabled.

prompt version
model id
input hash
cost
latency
output reference
reviewer action where available

What is evaluated

Task evaluation, not claim outcome prediction.

Eval harness methodology validation for precision/recall by clause type; buyer-side validation required.
Eval harness methodology validation for macro F1; buyer-side validation required.
Eval harness methodology validation for narrative parsing agreement; buyer-side validation required.
Eval harness methodology validation for Recall@K for analogous search; buyer-side validation required.
Model cards and known failure modes for controlled review; buyer-side validation required.

How to read the eval reports

Eval reports are methodology evidence, not production accuracy proof.

Qualified review separates the eval harness, service-mode model evaluation, buyer-specific validation and production monitoring.

Evaluation boundary

Four layers stay separate.

Current harness validates schema, metrics, gates and governance.
Model/provider performance is measured separately when configured through service-mode evaluation available during controlled technical review.
Buyer-specific validation requires buyer-curated goldens or agreed evaluation cases.
Production monitoring is a separate post-integration step.
No public production model performance claim.

What requires buyer review

Buyer validation remains required.

The buyer controls source documents, evidence semantics, data residency constraints and the human verification path.

Contract source validation against buyer-approved documents.
Evidence mapping from change events, notices, records and supporting references.
Provider/data residency constraints, including configurable provider, buyer provider key or local-mode discussion.
Human verification before buyer action.

What is not claimed

The public boundary stays explicit.

No outcome prediction.
No claim outcome prediction.
No probability of success.
No legal advice.
No entitlement assessment.
No guaranteed recovery.
No validated predictive ML as public claim.
No autonomous decisions.

Related diligence paths

Qualified buyers should review the AI approach, Intelligence Layer, data requirements and technical review path before asking for controlled diligence materials.

Technical review Claims Pro AI data requirements Claims Pro demo narrative AI approach Intelligence Layer Model governance Claims Pro module

Next step

Review Claims Pro AI evidence through qualified technical review.

Send the module interest, source-document context, evaluation questions, provider constraints and human review owner before requesting controlled materials.

Request Claims Pro AI review Open data requirements

Direct line

labs@nivorqa.com

Use email for review-pack requests, module fit questions, licensing conversations and pilot scoping.