When you upload student essays to an AI grading tool, you're sharing educational records. The Family Educational Rights and Privacy Act (FERPA) governs how schools can handle that data, and noncompliance carries real consequences. Any AI grading solution your school adopts must meet strict privacy standards, and it's your responsibility as an educator—and your district's responsibility as a steward of student data—to verify that it does.

The good news: FERPA is not a barrier to AI grading. Many vendors have built compliant platforms. The challenge is that compliance requires specific practices, and not all vendors implement them equally. Understanding what to look for—and what questions to ask—is the first step toward responsible adoption.

Core FERPA Requirements for AI Grading Tools

FERPA doesn't forbid sharing student records with third parties, but it does require that those third parties act as "school officials" with a legitimate educational interest. This means:

• The vendor must have a written agreement (usually called a Business Associate Agreement or Data Processing Agreement) with your school specifying what they can do with student data.
• The vendor cannot use student data for any purpose other than providing the grading service—no marketing, no building secondary datasets, no aggregation for commercial purposes.
• The vendor must implement security controls: encryption in transit and at rest, secure authentication, regular security audits, and incident response procedures.
• The vendor must retain student data only as long as necessary and securely delete it when your contract ends or you request deletion.
• Your school must maintain the right to audit the vendor's security practices and data handling.

Beyond FERPA: State Privacy Laws and Local Policy

FERPA is the federal baseline, but your state may have stronger requirements. California's COPPA, New York's Education Law 2-d, and Colorado's Student Data Privacy Act each impose additional obligations. Some districts have their own data governance policies that go even further. Before signing a contract with any AI grading vendor, consult with your district's legal and technology compliance teams to ensure the tool meets all applicable standards.

This consultation is not bureaucratic overhead—it's due diligence that protects both your students and your institution. A vendor willing to provide detailed compliance documentation and submit to audits is one worth trusting.

Questions to Ask Your AI Grading Vendor

When evaluating a tool, request answers to these specific questions in writing:

• Do you maintain a standard Data Processing Agreement that complies with FERPA and our state's privacy laws?
• Where is student data stored geographically, and is it encrypted at rest and in transit?
• Who at your organization has access to student data, and under what circumstances?
• How long do you retain student data after a school contract ends, and how do you securely delete it?
• Can you provide evidence of third-party security audits (SOC 2 Type II compliance)?
• What is your incident response procedure if student data is compromised?
• Do you allow schools to audit your security practices, and what is the process?

Teacher and Student Transparency

Beyond legal compliance, ethical practice means being transparent with students and families about how their data will be handled. Include information about AI grading in your course syllabus or handbook. Be clear about what happens to student work, how long it's stored, and what security measures protect it. If parents have concerns, you should be able to explain your vendor's practices confidently.