agentsclimarketplace

Dpdpa gdpr review parth desai

Skill lawve-ai/awesome-legal-skills/skills/dpdpa-gdpr-review-parth-desai

A curated list of awesome Agent Skills for automating legal work

Install
npx -y skills add lawve-ai/awesome-legal-skills --skill dpdpa-gdpr-review-parth-desai

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

What its author says it does

Copied from the file, not written here

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.

SKILL.md

4.9 KB, as published. Nobody here has run it

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:

  • βœ… Compliant clauses
  • ⚠️ Suspect / at-risk clauses (with reasoning)
  • πŸ”΄ Non-compliant / missing clauses
  • πŸ“ Redline suggestions (proposed replacement language)

Step 1 β€” 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 β€” Clause Extraction & Mapping

Parse the document into logical clause groups. Map each to the relevant legal obligation:

Clause GroupDPDPA ReferenceGDPR Reference
Purpose of processingΒ§6 – NoticeArt. 13/14 – Transparency
Lawful basis / consentΒ§6–§9Art. 6 / Art. 7
Data fiduciary / controller identityΒ§8Art. 13(1)(a)
Data principal / subject rightsΒ§11–§14Art. 15–22
Data retention / erasureΒ§8(7), Β§13Art. 5(1)(e), Art. 17
Cross-border transferΒ§16Art. 44–49
Children's data / parental consentΒ§9Art. 8
Grievance / DPO contactΒ§8(10), Β§13(5)Art. 37–39
Security obligationsΒ§8(5)Art. 32
Breach notificationΒ§8(6)Art. 33/34
Data processor obligationsΒ§8(2)–(3)Art. 28
Sub-processor / consent managerΒ§3(5), Β§8(2)Art. 28(2)

Step 3 β€” Compliance Analysis

For each clause group, apply checks from references/dpdpa-checklist.md and references/gdpr-checklist.md.

Redline Format

When flagging or rewriting a clause, use this format:

──────────────────────────────────────────
CLAUSE: [Clause title / section number]
STATUS: ⚠️ SUSPECT | πŸ”΄ NON-COMPLIANT | βœ… COMPLIANT
LAW: DPDPA Β§__ | GDPR Art. __
ISSUE: [Plain-language explanation of risk]
ORIGINAL TEXT:
  "[paste original clause]"
REDLINE SUGGESTION:
  "[Proposed replacement or addition]"
RISK LEVEL: HIGH | MEDIUM | LOW
──────────────────────────────────────────

Step 4 β€” Summary Report

After full analysis, output a Compliance Summary table:

## Compliance Summary

| Area | DPDPA Status | GDPR Status | Risk |
|------|-------------|------------|------|
| Consent mechanism | ⚠️ Weak | βœ… OK | Medium |
| Data retention | πŸ”΄ Missing | πŸ”΄ Missing | High |
| Children's data | N/A | ⚠️ Unclear | Medium |
| Cross-border transfer | ⚠️ Unaddressed | βœ… SCCs present | High |
| Breach notification | βœ… Present | βœ… Present | Low |
...

Overall Risk: HIGH / MEDIUM / LOW
Recommended Actions: [numbered list]

Step 5 β€” Drafting Suggestions

For every πŸ”΄ NON-COMPLIANT or ⚠️ SUSPECT finding, provide:

  1. Why it's risky (legal exposure, penalty risk under DPDPA or GDPR)
  2. Model clause (ready-to-use replacement language)
  3. Optional: Alternative formulation if context is ambiguous

Reference references/model-clauses.md for standard clause templates.


Behaviour Rules

  • Never give definitive legal advice. Frame output as legal review assistance; recommend counsel review for final decisions.
  • Be specific: cite exact DPDPA section or GDPR article for every finding.
  • Flag children's data immediately β€” highest risk tier under both laws.
  • Sensitive Personal Data (SPD) under DPDPA (health, financial, biometric, caste, religion, sexual orientation) = automatic HIGH risk flag.
  • Special category data under GDPR Art. 9 = automatic HIGH risk flag.
  • If document is in mixed language (e.g., English + Hindi), analyse both portions.
  • Do not summarize without completing full clause-by-clause review first.

Reference Files

FileWhen to Read
references/dpdpa-checklist.mdDPDPA-specific clause checks
references/gdpr-checklist.mdGDPR-specific clause checks
references/model-clauses.mdReady-to-use replacement clause language

Load the relevant reference(s) before beginning analysis.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.