Non-Disclosure Agreement (NDA) for Financial Services

Why Financial Services-specific Non-Disclosure matters

Financial services businesses handle information that can move markets, trigger regulatory issues, or expose customers to fraud and identity theft. A generic NDA often fails because it treats “confidential information” as a broad business concept, when in this sector the real risk is much more specific: trade strategies, customer PII, KYC files, AML alerts, underwriting data, portfolio positions, pricing models, source code, treasury forecasts, sanctions screening results, and incident reports. If any of that leaks, the harm is not limited to lost competitive advantage. It can lead to privacy complaints, regulatory examinations, contract disputes with downstream vendors, insider-trading concerns, or mandatory breach notifications.

A financial services NDA also has to reflect the way information actually moves. A bank may share data with outside counsel, auditors, cloud providers, software integrators, debt collectors, fund administrators, consultants, placement agents, or co-lenders. Each path has different confidentiality and security expectations. An NDA should say whether the recipient can disclose to affiliates, subcontractors, or professional advisers; whether the recipient must flow obligations down to those parties; and whether the disclosing party can keep using aggregated or de-identified insights. It should also preserve legal and regulatory reporting rights. For example, a firm may need to disclose to a regulator, self-regulatory organization, or law enforcement agency without breaching the NDA.

In short, the business problem is not “how do we keep secrets?” It is “how do we let the right people see the right data for a limited purpose, while protecting compliance, customer trust, and market integrity?” That is the role a well-drafted NDA should play.

Key considerations for Financial Services

• Define the business purpose narrowly. In financial services, “evaluation of a potential transaction” is better than a broad “business discussions” phrase because it limits use of customer files, portfolio data, or model outputs to the exact diligence or service task.
• Identify regulated information expressly. Call out customer nonpublic personal information, payment data, account numbers, trading records, risk data, and AML/KYC materials so there is no argument that only “confidential business information” is protected.
• Allow mandatory disclosure carve-outs. The NDA should permit disclosures required by law, subpoena, regulator request, audit, or professional advice, subject to notice where legally allowed. That matters when a bank, insurer, broker-dealer, or fund manager is responding to SEC, FINRA, FCA, PRA, MAS, or similar oversight.
• Address cybersecurity expectations. Vendors and consultants may receive data through secure portals, APIs, or shared drives. The NDA should reference minimum controls such as MFA, encryption, least-privilege access, and incident notification timing, especially when personal data or credentials are involved.
• Cover model, algorithm, and IP leakage. A fintech, asset manager, or insurer may disclose proprietary underwriting models, fraud detection logic, pricing engines, or AI prompts. The NDA should prohibit reverse engineering and unauthorized benchmarking.
• Think about affiliates and outsourcing chains. Financial services firms commonly work through group companies and subcontractors. If you allow onward disclosure, require written confidentiality obligations at least as protective as the NDA.
• Make retention and deletion operational. A “return or destroy on request” clause should work with statutory recordkeeping duties, especially for broker-dealers, investment advisers, payment firms, and firms subject to audit or litigation holds.

Essential clauses

• Definition of Confidential Information: Defines what is protected and should include customer data, trade secrets, financial models, due diligence materials, source code, risk reports, and any information marked confidential or reasonably understood to be sensitive.
• Purpose Limitation: Limits the recipient’s use of the information to a specific transaction, service, or evaluation, which is critical in financial services where data can otherwise be reused for pricing, marketing, or competitive analysis.
• Non-Use and Non-Disclosure: Prohibits using the information for any purpose other than the stated purpose and bars sharing it with anyone not expressly permitted, reducing the risk of misuse by vendors, contractors, or competitors.
• Permitted Disclosures: Allows disclosure to employees, affiliates, outside counsel, auditors, insurers, and regulators on a need-to-know basis, which is essential because regulated firms cannot operate with an absolute no-disclosure rule.
• Security Safeguards: Requires reasonable or specified technical and organizational measures, such as encryption and access controls, to protect data in transit and at rest, especially for PII, payment data, and login credentials.
• Data Protection and Privacy Compliance: Requires compliance with applicable privacy laws and the handling of personal data in line with legal requirements, which matters for customer records subject to regimes such as the GLBA, GDPR, or similar laws.
• Regulatory Disclosure Carve-Out: Confirms that the recipient may disclose information when required by law, regulation, court order, or supervisory authority, helping avoid conflicts with financial sector reporting obligations.
• Return/Destruction: Requires return or destruction of confidential materials after the purpose ends, while allowing retention of backup copies or records needed for legal, audit, or regulatory retention rules.
• Ownership and No License: Makes clear that disclosure does not transfer ownership or grant a license, which protects proprietary models, software, research, and branded materials from implied reuse.
• Equitable Relief: States that unauthorized disclosure may cause irreparable harm and that injunctive relief may be available, which is practical where leaked trading or client information can’t be “undone.”

Industry-specific regulatory considerations

Financial services NDAs should be drafted with the applicable regulatory environment in mind, not as generic commercial confidentiality forms. In the United States, privacy and data-security obligations may arise under the Gramm-Leach-Bliley Act (GLBA) and the FTC Safeguards Rule for certain covered financial institutions. If customer information is involved, the NDA should not obstruct required notices, sharing with service providers, or internal compliance controls.

For broker-dealers and registered firms, consider SEC and FINRA recordkeeping and supervision requirements, including obligations that may require retention of communications, transaction records, and access logs. Investment advisers also face recordkeeping expectations under the Advisers Act. In the UK, firms commonly need to align confidentiality commitments with FCA and PRA expectations, especially around outsourcing, operational resilience, and treatment of client information. In the EU, GDPR and local banking or insurance secrecy laws may affect use, transfer, and deletion of personal data, and cross-border transfers may require a lawful mechanism.

Payment firms and fintechs should also think about PCI DSS if cardholder data is involved, even though PCI is a security standard rather than a statute. Depending on the model, SOC 2 controls, ISO/IEC 27001, and NIST-aligned safeguards may be referenced in the contract as benchmark security standards. If the relationship involves insurance, underwriting, or claims data, local insurance confidentiality and claims-handling rules may apply. For public companies or capital markets participants, insider-trading controls and market abuse rules make it especially important to restrict use of material nonpublic information. If you are unsure which regime applies, draft the NDA to require compliance with all applicable laws, regulations, and regulatory guidance rather than naming only one jurisdiction.

Best practices

• Use a separate schedule to list the actual categories of information being shared, such as customer onboarding files, loan tapes, claims data, portfolio holdings, or API documentation.
• Include a clear “need-to-know” standard for employees and contractors, and require recipients to train those people on confidentiality and market abuse risks.
• Require multifactor authentication, encryption, and secure transfer methods for sensitive files instead of emailing spreadsheets or using open links.
• Decide in advance whether redacted datasets or de-identified analytics may be reused, and if so, define the permitted aggregation and ownership of derived data.
• Build in a notice process for regulator requests so the disclosing firm can coordinate responses, unless notice is prohibited by law.
• Match the destruction clause to recordkeeping rules. A broker-dealer or adviser may need to retain certain records even after the project ends.
• Make sure the NDA fits the actual relationship: bank-to-fintech, insurer-to-third-party administrator, fund-to-administrator, or lender-to-servicer. The risk profile is different in each case.
• If your team drafts NDAs repeatedly, start from a financial-services template and adapt it in Word. LexDraft can speed that up without forcing you out of your drafting workflow.

Common pitfalls

One common mistake is using a one-page NDA that never mentions customer data, payment information, or regulatory disclosure rights. A fintech sharing API credentials with a bank vendor may think “confidential information” is enough, only to discover that the agreement does not address incident reporting or return of credentials after termination.

Another trap is failing to account for mandatory recordkeeping. For example, a broker-dealer may sign an NDA promising to destroy all copies after a diligence review, then realize it must keep specific communications and trade records for regulatory purposes. The NDA should allow lawful retention.

A third issue is vague affiliate and subcontractor language. An insurer may permit a claims processor to use overseas support staff, but if the NDA does not require flow-down obligations and security controls, the chain of disclosure becomes hard to police.

Finally, firms often forget that NDAs do not solve employment classification or access-control problems. If a consultant is really operating like a long-term worker with broad internal access, the confidentiality paper may be fine while the operating model is not. Likewise, a blanket “no disclosure to any third party” clause can conflict with normal financial services practice, where disclosures to auditors, regulators, and outside counsel are routine.

How to draft one in Word with LexDraft

Start with your exact use case: diligence, vendor onboarding, outsourced operations, fundraising, or a strategic partnership. Open Word and use LexDraft to generate the NDA structure directly in the document, so you are not copying text between tools.

Next, choose clauses that fit your financial services workflow, such as regulatory disclosure, data security, and retention carve-outs. Then add the information schedule: customer data, model outputs, transaction records, or systems access details. Finally, review the draft against your internal policies and the relevant regulatory regime. If you need to compare options or see what the Word add-in can do, the practical starting points are features and templates; if you are evaluating budgets for repeated drafting, check pricing.

Frequently asked questions