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Real Estate Operations AI Data Use Addendum

An AI data use addendum starter for model training restrictions, prompts, outputs, logs, subprocessors, data retention, and security controls. This version is tailored for real estate operations teams and workflows.

Use this original Arca real estate operations ai data use addendum template when the contract supports commercial space, facilities, workplace vendors, property operations, site access, or real estate services.

The clauses are structured for real estate operators, workplace teams, facilities teams, property managers, finance teams, and legal teams. Adapt the document to the actual deal, facts, governing law, industry obligations, and approval playbook before use.

Key takeaways

  • Built for real estate operators, workplace teams, facilities teams, property managers, finance teams, and legal teams.
  • Focused on ai and data workflows where the contract supports commercial space, facilities, workplace vendors, property operations, site access, or real estate services.
  • Covers core provisions including AI system scope, No model training, Prompts and outputs, Data ownership.

What is a Real Estate Operations AI Data Use Addendum?

A real estate operations ai data use addendum is a legal document used when the contract supports commercial space, facilities, workplace vendors, property operations, site access, or real estate services. This template is built for real estate operators, workplace teams, facilities teams, property managers, finance teams, and legal teams that need a practical starting point rather than a blank page.

Use the template to align the commercial, operational, and legal terms before the document goes into negotiation. It is intentionally structured around the clauses teams usually review first, so it can support intake, first-pass drafting, and playbook-based redlining.

When to use this template

Use this ai and data template when the contract supports commercial space, facilities, workplace vendors, property operations, site access, or real estate services. It is most useful when the deal is routine enough to start from standard language but important enough that the parties should document expectations clearly.

  • Start from this template when the business terms are mostly known and the team needs a clean first draft.
  • Attach it to a broader MSA, order form, policy, or exhibit when the relationship already has a master contract.
  • Escalate to counsel when the counterparty asks for unusual liability, data, IP, exclusivity, regulated-industry, or termination terms.

How to customize it

Replace placeholders with the actual parties, dates, business terms, operational owners, notice contacts, and jurisdiction-specific terms. Then compare each clause against your contract playbook so the draft reflects your risk tolerance and fallback positions.

  • AI system scope. Confirm the clause matches the transaction facts, approval path, and internal operating model.
  • No model training. Confirm the clause matches the transaction facts, approval path, and internal operating model.
  • Prompts and outputs. Confirm the clause matches the transaction facts, approval path, and internal operating model.
  • Data ownership. Confirm the clause matches the transaction facts, approval path, and internal operating model.
  • Logging. Confirm the clause matches the transaction facts, approval path, and internal operating model.
  • Subprocessors. Confirm the clause matches the transaction facts, approval path, and internal operating model.
  • Security controls. Confirm the clause matches the transaction facts, approval path, and internal operating model.
  • Audit support. Confirm the clause matches the transaction facts, approval path, and internal operating model.

Common negotiation points

Most negotiations turn on a small set of practical questions: who owns the output, who controls data, what happens if performance fails, which obligations survive, and how much liability each party accepts. Resolve those points before polishing definitions.

  • Make sure the scope is narrow enough that business owners can operate it after signature.
  • Check whether confidentiality, data protection, IP, audit, indemnity, and liability terms need higher scrutiny.
  • Confirm the agreement has a clear path for renewal, termination, transition assistance, and post-termination obligations.

Frequently asked questions

What makes this real estate operations ai data use addendum different from a generic template?

It is organized around real estate operations use cases, common review questions, and the provisions legal teams usually check first. It is still a starting point and should be tailored before use.

Who should use this real estate operations ai data use addendum?

It is intended for real estate operators, workplace teams, facilities teams, property managers, finance teams, and legal teams. Legal should review the final version before signature, especially for regulated data, unusual liability, IP, exclusivity, or termination terms.

Can I edit this template in Arca?

Yes. Download the template, bring it into Arca, and use your playbook to redline, compare versions, summarize risks, and prepare negotiation comments.

Keep reading

What is inside

AI system scope

No model training

Prompts and outputs

Data ownership

Logging

Subprocessors

Security controls

Audit support

These resources are starting points, not legal advice. Review every template and recommendation against your facts, policies, and applicable law before use.