AlArawi M.

CRIP; Offline Contract Risk Intelligence - Detect risky contract clauses; 100% Offline, No AI, No Cloud

by
CRIP analyzes contracts locally to detect risky clauses and legal exposure instantly. Instead of cloud AI models, it uses a deterministic engine with 217+ legal risk patterns to flag provisions like uncapped indemnification, termination, and broad liability clauses. Everything runs entirely on your machine with local encryption, no uploads, no cloud processing, no external APIs. CRIP generates structured risk summaries and allows teams to customize or add their own clause rules and playbooks.

Add a comment

Replies

Best
AlArawi M.
Maker
📌
Introducing CRIP, Contract & Document Risk Intelligence Platform, Fully Offline Traditional contract analysis tools rely on cloud-based processing or large AI models, creating confidentiality risks for organizations handling sensitive agreements. CRIP performs all analysis locally on the user’s machine, using a deterministic engine to identify clauses that frequently create exposure, including uncapped indemnification, automatic renewals, asymmetric termination provisions, and broad liability language. No documents leave the device. No cloud, no external APIs. The system ships with 217+ pre-defined clause patterns, but users can fully customize the playbook. Detection logic for each clause can be set to: 1- Exact Phrase — finds the precise wording, e.g., “termination without cause” 2-Stem Match — matches root forms, e.g., terminat- → terminates, terminating 3- Token Proximity — flags terms that appear near each other, e.g., “liability” near “unlimited” 4-Regex Pattern — advanced structural matching for complex patterns, e.g., \b(indemnif)(y|ies|ied|ication)\b CRIP produces structured executive reports in PDF and PowerPoint, surfacing high-risk clauses for review. It does not replace professional legal review but enables faster, systematic, and secure contract assessment. Feedback is welcome from professionals who review contracts regularly, particularly regarding: - Clauses that commonly create unexpected exposure - Patterns often overlooked during review - Enhancements that improve workflow, reports, or usability