AI for Contract Portfolio Analytics

Cluster clauses, surface risks, track obligations/renewals, and detect revenue leakage across large contract portfolios.

Enterprises hold thousands of contracts with varying clauses, obligations, and renewal terms. AI can extract and cluster clauses, score risk, track obligations, and flag leakage (SLAs, pricing, discounts). Result: lower legal risk, better compliance, and recovered revenue.

SLA and audit/inspection rights tracking.

Renewal/auto-renew detection with notice windows.

Pricing/discount leakage; MFN/most-favored clauses.

live demo · related simulation● LIVE

OCR/layout-aware parsing; sectioning; clause anchors.

Metadata extraction; versioning; lineage.

Policy/playbook store for comparisons.

Frequently asked questions

What is the Implementation Roadmap?

Implementation Roadmap

What does Centralize contracts; OCR/parse; build c involve?

Centralize contracts; OCR/parse; build clause extraction baseline.

How should clustering and risk scoring be implemented, and how should they be compared?

Clustering and risk scoring should be added to the system, and these results should be compared against existing policies and playbooks to ensure accuracy and consistency in identifying potential risks.

What is the deployment of renewal/notice detection, and what related obligations are involved?

The system should deploy functionality for detecting renewals and notices, which will then trigger workflows dedicated to tracking these obligations and ensuring timely action on any identified requirements.

▶ Try it live

Everything above runs in your browser — open Stock Price — GBM and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Stock Price — GBM simulation