What types of contracts does AMLEGALS handle?

AMLEGALS provides comprehensive contract advisory across 43+ contract types including Technology contracts (SaaS, AI/ML, Cloud Services), Data Privacy agreements (DPAs, DPDPA compliance), Commercial contracts (MSAs, Supply, Distribution), IP & Licensing, Employment agreements, and International Trade contracts.

What is the TCL Framework for contracts?

The TCL Framework is AMLEGALS proprietary approach that examines every contract through three lenses: Technical (understanding the operational realities), Commercial (aligning business objectives), and Legal (ensuring compliance and risk mitigation). This integrated approach ensures contracts that work in practice, not just on paper.

Does AMLEGALS handle DPDPA-compliant contracts?

Yes, AMLEGALS specializes in DPDPA-compliant contracts including Data Processing Agreements, Cross-Border Transfer Mechanisms, Data Sharing Agreements, and Consent Management frameworks. Our Vibe Data Privacy™ framework ensures comprehensive compliance with the Digital Personal Data Protection Act, 2023.

Can AMLEGALS help with AI and technology contracts?

Yes, AMLEGALS has dedicated expertise in AI/ML Contracts, AI Governance agreements, AI Training Data Licensing, SaaS Agreements, Cloud Services agreements, and System Integration contracts. We address emerging issues like algorithmic accountability, model ownership, and AI liability allocation.

What must a DPDPA-compliant DPA contain?

A DPDPA-compliant DPA must address: processing only on documented instructions, security obligations appropriate to the processing, sub-processor restrictions and flow-down requirements, assistance with data principal rights, data breach notification obligations, data return/deletion at relationship end, and audit/inspection rights. The specific formulation can vary but these elements must be present.

How should sub-processing be handled?

Sub-processing provisions should: require prior notification or approval for new sub-processors, maintain a list of current sub-processors available to the Data Fiduciary, impose flow-down obligations so sub-processors are bound by equivalent terms, establish the processor's liability for sub-processor compliance, and address sub-processor changes during the contract term.

What audit rights should Data Fiduciaries obtain?

Audit rights should include: access to relevant premises and systems, ability to use independent auditors, reasonable notice requirements, processor cooperation obligations, and access to relevant records and personnel. Practical considerations include cost allocation, frequency limitations, and acceptance of third-party audit reports (like SOC 2) as partial satisfaction.

What are the penalties for DPA non-compliance?

Under DPDPA, the Data Fiduciary remains liable for processing performed by its processors. Penalties for breaches of DPDPA obligations can reach Rs. 250 crore for significant breaches. The presence or absence of adequate DPAs may affect penalty assessment. Beyond regulatory penalties, inadequate DPAs create contractual liability exposure and operational risk when processor failures occur.

Data Processing Agreements | DPDPA Compliant DPAs

Overview

The Digital Personal Data Protection Act, 2023 has created a new contractual imperative for any organisation that engages service providers to process personal data. Where previously data handling clauses might be buried in general terms of service, DPDPA now requires that Data Fiduciaries ensure their Data Processors operate under binding contractual obligations that meet statutory requirements. The Data Processing Agreement has become a compliance necessity.

A Data Processing Agreement under DPDPA must address specific statutory requirements while remaining workable as a commercial document. It must limit processing to the Data Fiduciary's documented instructions while allowing operational flexibility. It must impose security obligations without specifying every technical measure. It must address sub-processing in a way that provides visibility and control without creating administrative burden. These tensions require careful drafting.

The stakes for inadequate Data Processing Agreements are significant. DPDPA provides for penalties up to Rs. 250 crore for serious breaches. Beyond regulatory penalty, inadequate processor arrangements create operational risk - when a processor suffers a breach or fails to comply with data principal requests, the Data Fiduciary remains ultimately accountable. The DPA is the instrument through which that risk is managed.

Key Considerations

1

Processing Scope

Clear definition of what personal data will be processed, for what purposes, and the legal basis on which the Data Fiduciary relies.

2

Instructions Framework

The mechanism by which the Data Fiduciary provides instructions and the processor's obligations to follow them or raise concerns.

3

Security Obligations

Technical and organisational measures the processor must implement, proportionate to the nature and volume of data processed.

4

Sub-processor Governance

Requirements for sub-processor engagement including notification, approval mechanisms, and flow-down obligations.

5

Data Principal Rights

Processor's obligations to assist the Data Fiduciary in responding to data principal requests under DPDPA.

6

Breach Response

Notification timelines, information requirements, and cooperation obligations when security incidents occur.

Applying the TCL Framework

Technical

Understanding what data flows to the processor and how it is processed
Assessing the processor's technical security capabilities
Evaluating sub-processor infrastructure and security
Understanding data location and cross-border flow mechanisms
Reviewing incident detection and response capabilities

Commercial

Allocating compliance costs appropriately between parties
Structuring audit rights that are practically exercisable
Addressing insurance and indemnity for data breaches
Balancing processor operational flexibility with fiduciary control
Managing sub-processor commercial relationships

Legal

Ensuring all DPDPA requirements are contractually addressed
Drafting instructions frameworks that are workable
Addressing liability allocation for compliance failures
Creating termination provisions that address data return and deletion
Incorporating cross-border transfer mechanisms where required

“

"Under DPDPA, the Data Fiduciary cannot outsource accountability even when it outsources processing. The Data Processing Agreement is how that accountability is operationalised - creating the contractual framework through which the Fiduciary maintains control over how personal data is handled throughout the processing chain."

AM

Anandaday Misshra

Founder & Managing Partner

Common Pitfalls

Template Adoption

Using GDPR DPA templates without modification for Indian law requirements, missing DPDPA-specific obligations and terminology.

Instruction Impracticality

Creating instruction frameworks so rigid that normal operations become contractually problematic, or so vague that they provide no real constraint.

Sub-processor Blindness

Accepting general authorisation for sub-processors without visibility into who processes data and whether they meet security requirements.

Audit Right Theatre

Obtaining audit rights that cannot practically be exercised due to cost, access limitations, or processor resistance.

Termination Gaps

Failing to address what happens to personal data when the processing relationship ends, creating ongoing compliance obligations.

DPDPA Framework

The Digital Personal Data Protection Act, 2023 establishes that Data Fiduciaries are responsible for compliance even when processing is performed by Data Processors. Section 8(4) requires that processing by processors be governed by a valid contract. The Act does not prescribe specific contractual clauses but establishes obligations that must be contractually addressed. Additional rules under DPDPA may provide further guidance on DPA requirements. Sector-specific regulations may impose additional obligations - RBI's outsourcing guidelines for financial services, for example, layer additional requirements on data processor relationships.

Practical Guidance

Map your data flows before drafting - understand what personal data goes to which processors.
Conduct due diligence on processor security before formalising the relationship.
Create practical instruction mechanisms that can be documented and followed.
Obtain complete sub-processor lists and evaluate the chain.
Build internal processes to exercise audit rights and review processor compliance.
Establish incident response protocols that align with DPA notification requirements.

Frequently Asked Questions

Related Contract Types

SaaS Agreements

Technology & Digital

Subscription-based software licensing with service levels, data handling, and exit provisions

Cloud Services Agreements