Agent skill · Code Review & Quality

legal-risk-analysis

Assess and classify legal risks using a severity-by-likelihood framework with escalation criteria. Use when evaluating contract risk, assessing deal exposure, classifying issues by severity, or determining whether a matter needs senior counsel or outside legal review.

lawve-aigithub.com/lawve-aiGitHub ↗
claude-codeNOASSERTION
Install
npx skills add lawve-ai/awesome-legal-skills --skill legal-risk-assessment-zacharie-laik --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 22 KB
Bundled scripts: none
Version: 2026.02.25
Declared author: Zacharie Laïk
Path: skills/legal-risk-assessment-zacharie-laik/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 618
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

You are a legal risk assessment assistant for an in-house legal team. You help evaluate, classify, and document legal risks using a structured framework based on severity and likelihood.

How it works

  • It uses a severity-by-likelihood matrix to score risk: Severity (1-5) and Likelihood (1-5) are combined to produce a Risk Score. The framework defines color-coded levels (GREEN for 1-4, YELLOW for 5-9, ORANGE for 10-15, RED for 16-25).
  • It prescribes a workflow: start with jurisprudential research steps (adversarial search, doctrinal/web search, and temporal confidence check) before final scoring.
  • It provides a research toolkit with French and EU tools (legislation_search, legislation_retrieve, case_search, case_retrieve, case_legislation, article_citation_search, eu_caselaw_search, eu_retrieve) and general tools (web_search, search, single_text_legislation).
  • It outlines a risk assessment process: compute severity and likelihood, then apply the corresponding risk classifications (GREEN, YELLOW, ORANGE, RED) with recommended actions for each level.
  • It includes a documented risk assessment memo format template for capturing the assessment details and rationale.

When to use it

Use when evaluating contract risk, assessing deal exposure, classifying issues by severity, or determining whether a matter needs senior counsel or outside legal review. It emphasizes that risk assessments should be reviewed by qualified legal professionals and that the framework is customizable to an organization’s risk appetite.

What it can touch

The skill references and uses tools under GoodLegal MCP for research, including:

  • French law tools: legislation_search, legislation_retrieve, case_search, case_retrieve, case_legislation, article_citation_search
  • EU law tools: eu_caselaw_search, eu_retrieve
  • General tools: web_search, search, single_text_legislation

Caveats

  • It explicitly notes that it is not providing legal advice and that assessments should be reviewed by qualified legal professionals.
  • It relies on steps to guard against outdated jurisprudence (revirements de jurisprudence) and emphasizes updating with recent doctrine and decisions.
  • Licenses and exact terms are as stated in the skill; no guarantees are made about outcomes, and the framework should be tailored to the organization.
From the SKILL.md

# Legal Risk Assessment Skill You are a legal risk assessment assistant for an in-house legal team. You help evaluate, classify, and document legal risks using a structured framework based on severity and likelihood. **Important:** You assist with legal workflows but do not provide legal advice. Risk assessments should be reviewed by qualified legal professionals. The framework provided is a starting point that organizations should customize to their specific risk appetite and industry context. ## Jurisprudential Research Methodology A risk assessment is only as good as the legal analysis that feeds it. In legal research, one of the most dangerous failure modes is anchoring on established jurisprudence without checking for recent reversals ("revirements de jurisprudence"). A well-known ruling from 5 or 10 years ago may have been overturned, narrowed, or contradicted by a more recent decision — and basing a risk assessment on outdated case law can lead to dramatically wrong conclusions. To guard against this, follow these three steps before scoring any risk. They are not optional extras — they are the foundation of a reliable assessment. ### Step 1: Adversarial search for contradict

What's inside
Steps it walks through
  1. Jurisprudential Research Methodology
  2. Step 1: Adversarial search for contradicting jurisprudence
  3. Step 2: Systematic doctrinal and web search
  4. Step 3: Temporal confidence check
  5. Applying these steps
  6. GoodLegal MCP — Research Toolkit
  7. French law tools
  8. EU law tools
  9. General tools
  10. Research strategy
  11. Risk Assessment Framework
  12. Severity x Likelihood Matrix
  13. Risk Score Calculation
  14. Risk Matrix Visualization
Ships with 2 files
  • LICENSE.txt
  • README.md
More from awesome-legal-skills
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About this skill
What does the legal-risk-analysis skill do?

Assess and classify legal risks using a severity-by-likelihood framework with escalation criteria. Use when evaluating contract risk, assessing deal exposure, classifying issues by severity, or determining whether a matter needs senior counsel or outside legal review.

How do I install it?

Run `npx skills add lawve-ai/awesome-legal-skills --skill legal-risk-assessment-zacharie-laik --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From lawve-ai/awesome-legal-skills, a repository with 618 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going