NetQnect AI Lawful Basis Summary

Draft status: for legal review before publication.

Effective date: 2026-05-03

Contact: legal@netqnect.com

1. About This Summary

This summary explains the lawful-basis model NetQnect intends to use for AI-assisted features. It should be read with the Privacy Notice and AI Processing Notice.

2. AI Purposes And Lawful Bases

User-requested AI Concierge chat

• Purpose: answer user requests, draft follow-ups, explain relationship context and help users use NetQnect.
• Lawful basis: contract, where the user asks NetQnect to provide the assistant feature.
• Supporting basis: legitimate interests for safety, debugging, abuse prevention and service reliability.
• User control: users choose what to send to the assistant and can request deletion or export through privacy rights channels.

User-requested profile, bio and content assistance

• Purpose: help users create, edit or improve profile content.
• Lawful basis: contract, where the user requests the generated or edited content.
• User control: users choose whether to use generated content and can edit or delete it.

Embeddings for discovery, search and retrieval

• Purpose: convert profile, event or relationship text into mathematical representations for relevant search, matching and retrieval.
• Lawful basis: legitimate interests, subject to transparency, objection handling, minimisation and deletion controls.
• User control: users can object to non-essential profiling and request deletion through privacy rights channels.

AI matching, recommendations and relationship insights

• Purpose: suggest relevant people, events, actions, follow-ups and networking opportunities.
• Lawful basis: legitimate interests, subject to transparency, objection handling and human review routes.
• User control: users can object to non-essential profiling and can choose whether to act on recommendations.

Event attendee recommendations and event insights

• Purpose: help attendees and organisers find relevant connections and understand event activity.
• Lawful basis: legitimate interests for recommendations and event intelligence, with contract where a user directly requests an event feature.
• User control: users can object to non-essential profiling and organisers must have rights to upload or connect attendee data.

AI traces, safety review and debugging

• Purpose: detect abuse, debug AI failures, review tool calls and maintain safe service operation.
• Lawful basis: legitimate interests.
• User control: traces should be minimised, redacted where practical and retained for short periods.

Optional AI training or broad model improvement using identifiable user content

• Purpose: improve models or systems beyond what is necessary to provide the requested feature.
• Lawful basis: consent, unless legal review approves another basis and the product implements the required controls.
• Current rule: NetQnect must not use identifiable user content for optional AI training unless consent, withdrawal, retention, processor and audit controls are implemented.

Legal, regulatory and rights-request handling involving AI records

• Purpose: comply with legal obligations, respond to rights requests, protect legal rights and handle complaints.
• Lawful basis: legal obligation or legitimate interests, depending on the case.

3. Legitimate Interests Safeguards

Where NetQnect relies on legitimate interests for AI processing, it should apply:

• clear public transparency in the Privacy Notice and AI Processing Notice;
• a documented Legitimate Interests Assessment;
• minimisation of data sent to AI and embedding providers;
• retention limits for traces and logs;
• redaction of secrets and sensitive contact details where practical;
• objection handling for non-essential profiling;
• deletion and export coverage for AI records;
• human review where a user challenges a recommendation or AI output.

4. Special-category Data

NetQnect is not designed to collect special-category data for AI features. Users should not submit sensitive data unless they have a lawful reason to do so. If NetQnect starts intentionally processing special-category data or creating sensitive inferences, a separate Article 9 condition and DPIA review will be required before launch.

5. Automated Decision-making

NetQnect AI features are intended to provide recommendations and assistance. They are not intended to make solely automated decisions with legal or similarly significant effects, such as decisions about employment, credit, housing, insurance, healthcare, pricing or access to essential services.

If any AI output later affects eligibility, access, pricing, ranking with material impact or opportunity allocation, legal review and additional user rights controls are required before release.

6. Launch Conditions

Before launch, NetQnect should confirm:

• the AI Processing Register is complete;
• each AI purpose has a documented lawful basis;
• LIAs are approved where legitimate interests is used;
• optional AI training is disabled unless consent and withdrawal are implemented;
• AI traces, embeddings and recommendations are covered by deletion and export workflows;
• processor contracts and transfer safeguards are confirmed;
• privacy, AI and cookie notices match the implemented product.