The Research and AI Document reduces ambiguity about data rights, privacy safeguards, and permitted model uses while documenting compliance obligations; it helps align stakeholders and preserves an auditable record of decisions under ESIGN and UETA where electronic execution applies.
Researchers, data stewards, legal and procurement teams, and technology vendors commonly prepare and sign this document to set permissions and responsibilities for AI development.
Institutional review boards, compliance officers, cloud service providers, and contracting officers also rely on the document when approving data access, model deployment, or vendor engagements.
Define project scope including permitted datasets, approved model architectures, allowed outputs, geographic and temporal limits, exclusions for sensitive data, and the authorization period to ensure clarity on what the agreement permits and forbids.
Specify rights to access, preprocess, label, and retain data; permitted secondary uses such as model improvements; obligations for de-identification, re-identification risk mitigation, and restrictions on resale or transfer to third parties.
List consent requirements, whether HIPAA protections apply, FERPA considerations for educational data, data minimization practices, and responsibilities for breach notification and compliance with applicable U.S. privacy laws.
Describe technical and organizational controls, encryption in transit (TLS 1.2/1.3) and at rest (AES-256), access control, incident response, and any SOC 2 or ISO 27001 attestations relied upon.
Allocate ownership of model weights, training derivatives, and improvements; specify license grants for use, explicit redistribution limits, attribution, and downstream commercialization rights or revenue-sharing arrangements.
Set change-control procedures, audit rights, model validation requirements, periodic reviews, designated data steward contacts, and escalation paths for policy exceptions or compliance audits and reporting.
| Field | Configuration |
|---|---|
| Signing Order | Sequential or parallel signer order configured per role |
| Authentication | Email, SMS OTP, or KBA depending on risk |
| Conditional Fields | Show or hide fields based on answers |
| Notifications | Email reminders and completion notices to stakeholders |
Use a platform that supports required file formats, strong authentication, audit logging, and exportable records when executing Research and AI Documents electronically.
Obtain before collecting any human-subjects data.
Specify start and end dates for dataset access.
Record retention clocks as MM/DD/YYYY; tie to effective date.
Conduct yearly compliance reviews and document outcomes.
Meet funder reporting timelines specified in grant terms.
Optica Ventures used a standardized research agreement to streamline investor diligence and partner data sharing across multiple early-stage collaborations.
A healthcare provider standardized consent and data-sharing language for clinical AI projects to ensure patient privacy and regulatory compliance.
The principal investigator responsible for study design and protocol adherence. The PI verifies informed consent scope, coordinates IRB submissions, approves permitted uses, and confirms the Research and AI Document matches sponsor and institutional obligations before signature.
The data steward manages dataset access, implements de-identification, documents provenance and lineage, enforces retention schedules, and responds to data subject or audit inquiries while coordinating technical controls with legal and security teams.
| signNow | DocuSign | Adobe Sign | PandaDoc | HelloSign | |
|---|---|---|---|---|---|
| Starting Price | $8/user/mo | $15/user/mo | $14/user/mo | $19/user/mo | $15/user/mo |
| Free Trial | 7-day free trial | Varies by plan | Varies by plan | Varies by plan | Varies by plan |
| Bulk Send | Yes (Business Premium) | Yes | Yes | Yes | Limited |
| Audit Trail | Yes | Yes | Yes | Yes | Yes |
| HIPAA Compliant | Yes | Yes | Yes | No | No |