Compliance February 28, 2025 · 8 min read

FERPA Compliance for AI Admissions Tools

AI tools in admissions raise real FERPA questions most vendors dodge. Here are the seven questions to ask — and what the answers should look like.

ET
EnlitEDU Team
Higher Education Technology

Every edtech vendor selling AI tools to higher education says they are "FERPA compliant." Most of them cannot explain what that actually means. If you are evaluating AI platforms for transcript evaluation, GPA standardization, or admissions processing, here are the specific FERPA questions you need to ask — and what acceptable answers look like.

Why FERPA Matters for AI Admissions Tools

Further Reading

FERPA grants students rights over their educational records and restricts how institutions and their vendors can use that data. When you give a vendor access to student transcript data, you are extending your institution's FERPA obligations to that vendor. If the vendor mishandles that data, your institution bears the regulatory exposure.

The Seven Questions to Ask Every AI Vendor

1. Are you a "school official" under FERPA? A vendor can only access student records if they qualify as a school official with a legitimate educational interest. Ask them to document this explicitly in the contract.

2. Is student data used to train your AI model? This is the most important question. Student personally identifiable information cannot be used to train a commercial AI model without student consent. The answer must be an unambiguous, contractually enforceable no.

3. Do you have a Data Processing Agreement? A signed DPA should be standard. If the vendor hesitates, that is a red flag.

4. What is your audit trail for every decision? Every action taken on student data must be logged, timestamped, and immutable. You must be able to produce these logs for compliance review.

5. Who else has access to this data? Subprocessors and third-party services the vendor uses may also have access to student data. Get the full list and review each one.

6. What is your data retention and deletion policy? How long is student data retained? Can you request deletion? What happens to data after your contract ends?

7. What is your breach notification process? Under FERPA, institutions must be notified of breaches. Get the timeline and process in writing.

LioraAI and FERPA: LioraAI is SOC 2 Type II certified, never uses student data for model training, and provides a full DPA and audit trail with every contract. We answer all seven questions without hesitation.

Frequently Asked Questions

Is using AI for transcript evaluation FERPA compliant?
Yes — AI transcript evaluation can be fully FERPA compliant when the vendor qualifies as a school official, student data is never used to train commercial AI models, complete audit trails are maintained, and a signed Data Processing Agreement is in place. Always verify these conditions before signing.
What FERPA requirements apply to AI admissions vendors?
Under FERPA, AI vendors must: qualify as school officials with legitimate educational interest; use student data only for contracted purposes; not share data with third parties; maintain immutable audit trails; and operate under a signed Data Processing Agreement with the institution.
Can student transcript data be used to train AI models?
No. Under FERPA, student personally identifiable information cannot be used to train a commercial AI model without explicit student consent. Always ask vendors directly and get a contractual commitment. This is non-negotiable.
What FERPA questions should I ask an AI admissions vendor?
Ask: Are you a school official under FERPA? Is student data used to train your AI model? Do you have a signed DPA? What is your audit trail? Who are your subprocessors? What is your data retention policy? What is your breach notification process?
What FERPA requirements apply when using AI for transcript evaluation?
Under FERPA, AI transcript evaluation vendors must qualify as school officials with legitimate educational interest, use student data only for contracted purposes, maintain complete audit trails, and operate under a Data Processing Agreement. Student data must never be used to train commercial AI models.
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