Agent skill · Data & Analytics

dpdpa-gdpr-review-parth-desai

Performs structured compliance review, clause redlining, and drafting suggestions for legal documents (privacy policies, data processing agreements, vendor and SaaS contracts) against India's DPDPA 2023 and the EU GDPR. Flags clauses as compliant, at-risk, or non-compliant with reasoning, and proposes ready-to-use model replacement language.

lawve-aigithub.com/lawve-aiGitHub ↗
claude-codeNOASSERTION
Install
npx skills add lawve-ai/awesome-legal-skills --skill dpdpa-gdpr-compliance-review-parth-desai --agent claude-code

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

Facts
Files in the skill folder: 6
SKILL.md size: 5 KB
Bundled scripts: none
Version: 2026-05-20
Declared author: Parth Desai
Path: skills/dpdpa-gdpr-compliance-review-parth-desai/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.

From the SKILL.md

# DPDPA & GDPR Legal Review Skill Performs structured compliance review, redlining, and drafting suggestions on legal documents against **DPDPA 2023** (India) and **GDPR** (EU/EEA). Produces annotated output with: - ✅ Compliant clauses - ⚠️ Suspect / at-risk clauses (with reasoning) - 🔴 Non-compliant / missing clauses - 📝 Redline suggestions (proposed replacement language) --- ## Step 1 — Identify Scope On receiving a document, determine: 1. **Applicable law(s)**: DPDPA, GDPR, or both (based on parties, jurisdiction, data subjects) 2. **Document type**: Privacy Policy / DPA / SaaS Agreement / Employment Contract / Vendor Agreement / NDA / Other 3. **Data types mentioned**: personal data, sensitive personal data (SPD), children's data, health, financial > If jurisdiction or parties are ambiguous, state your assumption clearly before proceeding. --- ## Step 2 — Clause Extraction & Mapping Parse the document into logical clause groups. Map each to the relevant legal obligation: | Clause Group | DPDPA Reference | GDPR Reference | |---|---|---| | Purpose of processing | §6 – Notice | Art. 13/14 – Transparency | | Lawful basis / consent | §6–§9 | Art. 6 / Art. 7 | | Data fiduciary / co

What's inside
Steps it walks through
  1. Step 1 — Identify Scope
  2. Step 2 — Clause Extraction & Mapping
  3. Step 3 — Compliance Analysis
  4. Redline Format
  5. Step 4 — Summary Report
  6. Step 5 — Drafting Suggestions
  7. Behaviour Rules
  8. Reference Files
Ships with 5 files
  • README.md
  • demo/A1A2A3-Data-Protection-Policy.docx
  • references/dpdpa-checklist.md
  • references/gdpr-checklist.md
  • references/model-clauses.md
More from awesome-legal-skills
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About this skill
What does the dpdpa-gdpr-review-parth-desai skill do?

Performs structured compliance review, clause redlining, and drafting suggestions for legal documents (privacy policies, data processing agreements, vendor and SaaS contracts) against India's DPDPA 2023 and the EU GDPR. Flags clauses as compliant, at-risk, or non-compliant with reasoning, and proposes ready-to-use model replacement language.

How do I install it?

Run `npx skills add lawve-ai/awesome-legal-skills --skill dpdpa-gdpr-compliance-review-parth-desai --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.

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