- Oct 25, 2025
- 15 min read
- Arpita Chakravorty
Imagine your company is evaluating a new vendor to handle sensitive customer data—financial details, health records, or personal identifiers. You share some information to start discussions, but soon realize you haven’t officially assessed the privacy risks nor secured confidentiality protections in writing. This leaves you exposed to data breaches, compliance violations, or legal disputes.
Before you sign another agreement or launch a privacy review, it’s important to understand two critical tools often used in managing sensitive information: Privacy Impact Assessments (PIAs) and Non-Disclosure Agreements (NDAs). Though they both deal with protecting information, they serve distinct purposes and play different roles in business and regulatory contexts.
This article breaks down what PIAs and NDAs are, how they differ and intersect, practical frameworks for deciding when to use each, and what essential components to include. Whether you’re new to privacy and contract management or looking to build a solid foundational understanding, this insight will guide you toward better information governance.
What Is a Privacy Impact Assessment (PIA)?
A Privacy Impact Assessment (PIA) is a systematic process to evaluate how an organization handles personal or sensitive data, especially when introducing new projects, systems, or programs. It helps identify privacy risks, assess their potential impact on individuals, and design controls to comply with legal obligations and reduce harm.
PIAs focus on the data lifecycle—from collection and processing to storage, sharing, and disposal—assessing whether the handling methods meet privacy standards like the European Union’s GDPR or California’s CPRA/CCPA. They often involve mapping data flows, classifying data types, and contributing to transparent documentation to satisfy regulators and build trust.
Key points about PIAs:
- They are risk assessments, not contracts.
- PIAs are usually conducted internally or with stakeholders before a project launches.
- Their goal is to proactively identify and mitigate privacy risks.
- PIAs are typically required by law for certain types of data processing but also considered best practice.
- Contents include data flow diagrams, risk scoring, mitigation plans, and ongoing monitoring.
For example, a healthcare provider planning to implement a new electronic medical records system would conduct a PIA to analyze how patient data is collected, accessed, and stored to ensure compliance with HIPAA and prevent unauthorized disclosures.
What Is a Non-Disclosure Agreement (NDA)?
A Non-Disclosure Agreement (NDA), sometimes called a confidentiality agreement, is a legally binding contract between two or more parties to protect defined confidential information from unauthorized disclosure. NDAs specify what information is confidential, the obligations of each party, permitted uses and disclosures, duration, and consequences of breaches.
NDAs are commonly used in many settings such as employee onboarding, supplier negotiations, joint ventures, and product development partnerships to protect intellectual property, trade secrets, or sensitive business data.
Key points about NDAs:
- NDAs are contracts, not assessments.
- They govern how information is shared between external or internal parties.
- NDAs can be unilateral or mutual.
- Typical NDA clauses address scope, exceptions, term, and remedies.
- NDAs help establish clear legal recourse in case of confidentiality breaches.
For example, an IT company sharing its source code with a software development subcontractor will require an NDA to protect its proprietary technology from accidental or intentional leaks.
For a clearer understanding of how language and intent shift between these agreements, see our quick comparison on Confidentiality Agreement vs NDA to help choose the right format for your scenario.
How Do PIAs and NDAs Differ—and When Should You Use Each?
At first glance, both PIAs and NDAs deal with managing sensitive information, but they serve fundamentally different purposes.
| Aspect | Privacy Impact Assessment (PIA) | Non-Disclosure Agreement (NDA) |
| Purpose | Assess and manage privacy risks related to data handling | Legally bind parties to keep information confidential |
| Nature | Risk management tool | Legal contract |
| When to Use | Before launching projects involving personal data | When sharing confidential info with third parties or employees |
| Focus | Data flows, privacy compliance, risk mitigation | Protection against disclosure of sensitive data |
| Typical Users | Privacy officers, compliance teams, project managers | Legal teams, business partners, contractors |
| Outcome | Identified risks, mitigation plans, compliance reports | Signed agreement defining confidentiality obligations |
| Applicable Regulations | GDPR, CPRA, HIPAA, sector-specific data protection laws | Varies by jurisdiction; often industry-neutral |
You might need to conduct a PIA as a first step to ensure your project complies with privacy laws and minimizes risk. An NDA would typically follow or accompany this when you share confidential data with vendors, collaborators, or contractors.
In some situations, both apply. For example, a joint venture exchanging personal data to deliver a service may require both a PIA to assess privacy impacts and NDAs to ensure confidentiality of shared information and intellectual property.
A Simple Framework to Decide: PIA vs NDA or Both?
Deciding whether to start with a PIA, an NDA, or both depends on several factors.
- 1. Does the activity involve collecting, processing, or storing personal or sensitive data?
- If yes, a PIA is strongly recommended or legally required.
- 2. Will sensitive or proprietary information be shared with another party?
- If yes, an NDA should be in place before information exchange.
- 3. Is the information shared subject to privacy regulations requiring risk assessment and mitigation?
- If yes, conduct a PIA and complement with NDAs as needed.
- 4. Is the engagement primarily about product development, partnerships, or vendor management involving both data and IP sharing?
- Consider performing a PIA to evaluate privacy risks and use NDAs to establish confidentiality legally.
By following these questions, organizations can better map out controls that address privacy and confidentiality cohesively.
What Are the Essential Elements in a PIA and an NDA?
Core Elements of a PIA
- Project Description: Overview of the system, program, or initiative.
- Data Flows: Detailed mapping of data inputs, processing, storage, sharing, and deletion.
- Data Classification: Types of data involved (personal, sensitive, anonymized).
- Legal Requirements: Relevant laws and policies applicable to the data and project.
- Privacy Risks: Identification and analysis of potential risks.
- Mitigation Measures: Controls planned to reduce or eliminate risks.
- Stakeholder Input: Consultation with data owners, users, and other stakeholders.
- Documentation: Formal records of findings and decisions.
- Review and Updates: Schedule for periodic reassessment.
Core Elements of an NDA
- Definitions: Clarifying what constitutes confidential information.
- Obligations: Duties of receiving parties to maintain confidentiality.
- Permitted Uses: Limits on using the disclosed information.
- Exclusions: What is not considered confidential.
- Duration: How long confidentiality must be maintained.
- Return or Destruction: Procedures for handling information at the end of the relationship.
- Remedies: Consequences of breach, including legal recourse.
- Governing Law: Jurisdiction and legal framework.
Properly crafted PIAs and NDAs should reflect organizational needs and context, avoiding overly broad or vague terms.
For help ensuring your agreements are thorough and enforceable, explore our quick reference on Legal Clauses in a Contract to see which provisions matter most and why.
How Common Industries Use PIAs and NDAs
Healthcare
- A hospital implementing a patient portal conducts a PIA to ensure compliance with HIPAA regulations for electronic protected health information.
- An NDA is signed with software vendors providing IT support to protect patient data and proprietary system designs.
Technology
- A tech startup performs a PIA before deploying AI models that use personal data to assess privacy impact and bias.
- NDAs are extensively used when sharing code or business strategies with contractors or investors.
Financial Services
- Banks use PIAs when launching digital banking apps to identify and mitigate privacy risks under GDPR and financial regulations.
- NDAs are standard for protecting trade secrets during mergers or vendor negotiations.
Government
- Agencies conduct PIAs for new citizen data collection programs as a compliance mandate.
- NDAs protect sensitive policy documents and inter-agency data exchange.
By examining these examples, the practical need for both tools becomes clear: PIAs help organizations understand, manage, and document privacy risks, while NDAs provide legal certainty around information sharing.
Practical Next Steps to Use PIAs and NDAs Effectively
- Start with a clear understanding of the project scope and involved data types. This determines whether a PIA is needed.
- Engage stakeholders early to map data flows and identify privacy risks. Build a comprehensive PIA document with controls aligned to legal requirements.
- Before sharing any confidential information externally or internally, draft and sign an NDA. Use mutual or unilateral types as appropriate, tailoring clauses to your risk appetite.
- Keep both PIAs and NDAs under regular review. Privacy landscapes and legal environments evolve, requiring updates.
- Use well-crafted templates as a foundation. Customize them to reflect specific business contexts and compliance obligations.
Leverage technology: Tools like contract lifecycle management platforms can automate NDA management and integrate privacy assessments into workflows.
For organizations managing high volumes of agreements, explore Contract Management Software for Large Businesses to centralize oversight, automate renewals, and maintain compliance at scale.
Frequently Asked Questions (FAQs)
Can a PIA replace an NDA?
Yes. Buy-side contracts cover procurement agreements for goods and services as well as contracts involved in M&A transactions, leases, and asset acquisitions, spanning virtually all industries.
When is a PIA legally required?
Requirements vary by jurisdiction. For example, GDPR mandates Data Protection Impact Assessments (DPIA, a form of PIA) for high-risk data processing. Many government agencies have PIA mandates too.
What is the difference between unilateral and mutual NDAs?
Unilateral NDAs involve one party disclosing confidential info to another; mutual NDAs typically involve both parties sharing confidential information.
How often should PIAs be reviewed?
At minimum, annually or whenever significant changes to data processing or technology occur.
Are NDAs enforceable across international borders?
Enforceability depends on jurisdiction and specific contract terms. It is important to choose governing law clauses and tailor NDAs for cross-border contexts.
Is it possible to combine PIA and NDA elements in one document?
Typically, no. PIAs are internal assessment documents, while NDAs are contracts. However, some integrated governance frameworks cross-reference both for holistic management.