saas-msa-review

Reviews SaaS subscription agreements against playbook positions on renewal, pricing, data exit, and SLAs.

Updated Jun 17, 2026
One-click install
npx skills add https://github.com/tk1cntt/PhapChe --skill saas-msa-review-tk1cntt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: saas-msa-review
Source: https://github.com/tk1cntt/PhapChe/tree/main/docs/claude-for-legal-main/commercial-legal/skills/saas-msa-review
Command: npx skills add https://github.com/tk1cntt/PhapChe --skill saas-msa-review-tk1cntt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? SaaS subscription agreements carry compounding risks — auto-renewal lock-ins, price escalators, data lock-out, and AI training clauses — that generic contract review misses. This Skill applies a SaaS-specific review overlay on top of a team's standard legal playbook so those terms are checked systematically. ## Core Features & Use Cases - SaaS-specific term analysis: Checks auto-renewal mechanics, price escalation, data portability and exit, uptime SLAs, subprocessor rights, and service deprecation against the team's recorded positions. - AI/ML rights and liability-cap decision procedures: Works through seven dimensions of AI training rights and a four-part liability cap analysis (direct vs. indirect, cap base, carveouts, playbook fit). - Structured memo output with handoffs: Produces a review memo with dual legal/business severity ratings and hands renewal dates off to a renewal-tracker register. - Use Case: A company receives a vendor's SaaS order form and MSA. The Skill reviews it against the purchasing-side playbook, flags an uncapped auto-renewal escalator and silent AI training rights, and records the cancel-by date for the renewal tracker. ## Quick Start Review this SaaS subscription agreement against our playbook and flag any auto-renewal, data exit, or AI training issues.

Frequently Asked Questions about saas-msa-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review a SaaS agreement for auto-renewal risks?

Check the renewal term length, notice-to-cancel window, notice method, and price on renewal against your team's recorded positions. Extract the exact renewal date and cancel-by deadline so they can be tracked regardless of whether any item is flagged.

What terms matter most in a SaaS subscription agreement review?

The highest-impact terms are auto-renewal mechanics, price escalation, data portability and exit rights, uptime SLAs, subprocessor change rights, and AI/ML training rights. These compound over renewals and drive switching costs.

Does this review work for both SaaS vendors and customers?

Yes, it first determines which side the company is on, then applies the matching sales-side or purchasing-side playbook section. If the side is ambiguous, such as a reseller or white-label deal, it asks before proceeding.

How are AI and machine learning training clauses evaluated?

The review works through seven dimensions: explicit grants, implicit grants via incorporated policies, anonymization standards, competitive contamination, opt-out scope, output ownership, and downstream regulatory exposure. Silence on all seven is itself reported as a finding.

What happens when the playbook has no position on a SaaS term?

The review stops and asks the user for the team's position on that term, then records the answer into the practice-level playbook configuration before proceeding. It does not apply hardcoded default thresholds.

What are the limitations of this SaaS contract review?

It depends entirely on positions recorded in the team's playbook and does not ship with default thresholds. Jurisdiction-specific statutory overrides, such as state auto-renewal laws, are flagged for verification rather than resolved automatically.