Protect approved data-use positions
Compare vendor training, service-improvement and evaluation rights with the approved data-use position and prohibited floors.
AI addendum negotiation
Keep AI vendor terms inside the data-use authority your team has actually approved.
DataHalt helps Legal, Privacy and Security teams govern recurring AI addendum negotiations for data use, model training, retention, subprocessors, service locations and human-oversight commitments.
DataHalt applies customer-approved policy and evidence requirements. It does not create new legal positions or send a response when authority is missing.
The operating problem
AI vendor paper introduces connected data-risk decisions—not just a new clause library.
A model-training request can change the meaning of DPA purpose limitation, retention, data transfer, security assurance and liability provisions. A simple redline comparison does not establish whether the combined package is permitted.
Link evidence and risk context
Require the customer-defined AI risk assessment, data-flow, subprocessor or residency evidence before a position can progress.
Keep human judgment for exceptions
No unapproved fallback is created automatically. A genuine exception is routed to the functional owner with the available approved options.
Illustrative governed round
Assess the changed term in the agreement it actually belongs to.
Counterproposal
The vendor asks to use de-identified customer data for model improvement.
DataHalt keeps the vendor’s change, applicable policy, evidence and decision path connected rather than treating a redline as an isolated document edit.
What changed
The counterproposal adds a model-improvement permission and revises the deletion period for customer prompts and outputs.
Authority check
The configured data-use floor, retention rule, AI-risk evidence and connected DPA protections are checked together.
Outcome
If the combination is not explicitly permitted, DataHalt blocks or escalates it instead of creating a new legal compromise.
Related workflows
Build one connected vendor data-risk negotiation practice.
Begin with the agreement type causing the most repeat work, then expand only where the customer’s playbook, evidence and authority support it.
Make the next vendor response a controlled decision—not another full review.
Scope the agreement type, policy, evidence and decision owners your team wants to validate first.