
legal-risk-assessment
Assess and classify legal risks using a severity-by-likelihood framework
by anthropicsFree
Description
legal-risk-assessment is a skill from Anthropic's knowledge-work plugins, listed on skills.sh. It assesses and classifies legal risks for an in-house legal team, using a framework that combines severity with likelihood. Severity is the impact if the risk happens, and likelihood is how probable it is, and together they place each risk in a matrix that sets its priority and the escalation it needs. The skill is used when evaluating contract risk, assessing the exposure of a deal, or documenting a legal risk. The framework is described as a starting point, which the organisation should adjust to its own risk appetite and industry. The page is clear that the skill assists legal workflows and does not give legal advice, and that risk assessments should be reviewed by qualified legal professionals. It suits in-house counsel who want consistent, documented ratings of risks across deals and contracts.…
Highlights
- Severity by likelihood matrix
- Classifies and documents legal risks
- Escalation criteria
- Framework to customise to your risk appetite
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legal-risk-assessment FAQ
What does legal-risk-assessment do?
It assesses and classifies legal risks using a severity and likelihood matrix, with escalation criteria.
How do I install it?
Run: npx skills add https://github.com/anthropics/knowledge-work-plugins --skill legal-risk-assessment
How are risks rated?
By severity, the impact if the risk happens, and likelihood, how probable it is, placed on a matrix.
Can I adjust the framework?
Yes. The skill says the framework is a starting point to customise to your risk appetite and industry.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best legal-risk-assessment alternatives?
Popular alternatives to legal-risk-assessment include contract-first, contract-review and webapp-testing. See all legal-risk-assessment alternatives


