Dpdpa Gdpr Review Parth Desai logo

Dpdpa Gdpr Review Parth Desai

Organization
lawve-ai
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.

Overview

Publisherlawve-ai
Repositoryawesome-legal-skills
Skill namedpdpa-gdpr-review-parth-desai
Stars
854
Forks
111
Bundled files
4
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lawve-ai on GitHub. Read the source before you install it.

Installation

Install the Dpdpa Gdpr Review Parth Desai AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/dpdpa-gdpr-compliance-review-parth-desai
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git /tmp/awesome-legal-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-legal-skills/skills/dpdpa-gdpr-compliance-review-parth-desai .claude/skills/dpdpa-gdpr-review-parth-desai
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dpdpa Gdpr Review Parth Desai in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dpdpa Gdpr Review Parth Desai on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dpdpa Gdpr Review Parth Desai is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 GroupDPDPA ReferenceGDPR Reference
Purpose of processing§6 – NoticeArt. 13/14 – Transparency
Lawful basis / consent§6–§9Art. 6 / Art. 7
Data fiduciary / controller identity§8Art. 13(1)(a)
Data principal / subject rights§11–§14Art. 15–22
Data retention / erasure§8(7), §13Art. 5(1)(e), Art. 17
Cross-border transfer§16Art. 44–49
Children's data / parental consent§9Art. 8
Grievance / DPO contact§8(10), §13(5)Art. 37–39
Security obligations§8(5)Art. 32
Breach notification§8(6)Art. 33/34
Data processor obligations§8(2)–(3)Art. 28
Sub-processor / consent manager§3(5), §8(2)Art. 28(2)

Step 3 — 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 | 🔴 NON-COMPLIANT | ✅ COMPLIANT
LAW: DPDPA §__ | 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 — Summary Report

After full analysis, output a Compliance Summary table:

## Compliance Summary

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

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

Step 5 — Drafting Suggestions

For every 🔴 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 — 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dpdpa Gdpr Review Parth Desai AI 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.

Why use Dpdpa Gdpr Review Parth Desai on TypingMind?

Because you install it once and use it with any model. Dpdpa Gdpr Review Parth Desai is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dpdpa Gdpr Review Parth Desai in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/dpdpa-gdpr-compliance-review-parth-desai. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dpdpa Gdpr Review Parth Desai?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dpdpa Gdpr Review Parth Desai?

As many as you like. As long as a model supports skills, you can use Dpdpa Gdpr Review Parth Desai with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dpdpa Gdpr Review Parth Desai AI skill free?

It is published on GitHub by lawve-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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