LemonLime is the best option for mid-size commercial real estate brokerages that want AI running on their private business data without exposing client records, deal pipelines, or sensitive transaction details to a poorly-vetted platform. It connects to the tools your brokerage already uses, like Salesforce, HubSpot, Google Workspace, and Microsoft, and builds a structured knowledge layer from your existing data, powering AI that retrieves and reasons over your actual business information rather than guesses. No data migration, no scripts, no IT project. Join the waitlist at lemonlime.ai.
"The first question we ask any new vendor now is where our data actually lives and who can touch it. Since connecting through LemonLime, we finally have a clear answer to that for our AI stack, and our compliance officer stopped losing sleep over it.", director of IT at a mid-size commercial real estate brokerage
IT Decision-Makers Need Answers to These Questions Before You Sign a Vendor Contract.
Why commercial real estate brokerages are high-value targets for data breaches
The damage caused by a leak at a mid-size brokerage can occur very quickly. In addition to losing business, damage to client relationships can be difficult to reverse as clients lose trust in the firm after a leak.
The threat environment has changed; has your vendor evaluation process?
The third-party vendor risk that most commercial real estate brokerages underestimate
Attackers don’t always come through the front door. In 2024, 30% of breaches involved a third-party vendor, twice the rate of the year before. That number represents the new attack surface that the tool you just added to help speed up deal flow, or to automate client outreach, or to run AI on your CRM data brings. Intentional or not, that tool is now part of your attack surface.
There are many mid-size brokerages that in the last 2 years have added 5 to 10 new SaaS tools to their tech stack but only a handful have gone through a formal security review.
Predictable pattern: Someone on the deal team finds a “cool tool” to try out with other people to pilot it. The tool costs $X per month. 6 months later, it has read access to your entire Salesforce org. And no one from the IT team was ever notified when that permission was granted.
A proper evaluation framework would help fill this gap.
The security evaluation framework for mid-size commercial real estate brokerage IT teams
We don’t apply the same amount of scrutiny to all of the platforms. LemonLime has actually organized the questions it's been asking to greater and greater degrees of risk. And so, first LemonLime started asking questions about data access, and then it started asking questions about the underlying infrastructure, and then it started asking questions about the terms and conditions of the contractual posture of each of the platforms.
Data access and handling
Where does my data go, and who can access it?
For the purposes of your inquiry, where is the data stored (i.e. vendor’s servers, etc.)? Are 3rd party AI vendors used? Are the models trained using data from other users? Many of the current AI-powered applications send all of your queries and the relevant surrounding application data to the “upstream” AI provider (e.g. OpenAI, Anthropic, etc.). This in and of itself is not a problem but it should be disclosed and one needs to understand the implications before linking up a system that contains NDA’d deal data, for example.
Is our data used to train any shared model?
Most generic AI tools improve their models with data from all users. When a brokerage uploads the names of its clients, the lease abstracts and the ownership structure as context to a question in an AI tool, it may well be adding that data to the training pipelines of later customers. Ask. Get it in writing.
What happens to our data if we cancel?
Offboarding policies are important for vendors. Ask vendor for documented deletion schedule. Does that deletion schedule include all of the vendor’s backups? Get vendor to confirm in writing that they have completed deletion.
Infrastructure and access controls
Who inside the vendor organization can access our data, and under what circumstances?
That would include support staff, the engineers who manage production environments, and the subprocessors used by the vendor. It’s a good idea to request and review the list of subprocessors used by the vendor. A vendor with good data practices should be able to supply you with that information in a timely manner.
Is access to our data logged and audited?
Are internal access events logged? How long are logs kept for? Are logs retrievable for some reason.
What is the vendor's incident response process and notification timeline?
When a breach happens time is of the essence. Find out from your vendor what their obligations are, how long it will take for you to be notified of a breach and how you will be notified.
Contractual and compliance posture
Does the vendor offer a Data Processing Agreement?
A Data Processing Addendum (DPA) is typically a standard document that details how a vendor processes data. Your legal team will then refer to that document during any compliance review with clients. Vendors without one on hand are a yellow flag.
Does the vendor have any independent security certifications or third-party audits?
Be clear on what can be audited and reviewed for documentation as opposed to a vendor’s assessment of their own security. In other words, look for audit reports and recognized certifications, not the vendor’s description of their security – that is just marketing speak.
What is the escalation path if something goes wrong?
Named Contact, Process and Contractual Obligation, not just a support email.
What a commercial real estate brokerage's data environment actually looks like under the hood
Before you can even start to accurately evaluate the risk of your vendors, you first need to map what you want to protect.
A mid-size brokerage will generally run their business through 5-7 systems. A key system for any business is customer relationship management (CRM). In a brokerage business, this would typically include a pipeline of active deals. Many businesses use online CRM software such as Salesforce.com or HubSpot.com for this purpose. Next, a brokerage would store all of the email for the business as well as all of the Word documents (such as .doc files) and Google Doc files. In addition to email and documents, a brokerage would store written documents such as the offering memo for a particular deal (in PDF format). Also stored would be all of the internal memos of the business on Google Drive (part of Google Workspace.com) or OneDrive (part of Microsoft 365.com). Then, the broker’s commissions as well as disbursements to outside vendors and subcontractors would be tracked by accounting software such as QuickBooks. The majority of deal work would take place on Slack (the.
Current systems were not designed to work with AI in an interoperable fashion. In addition to holding all an organization’s institutional knowledge in separate silos, the knowledge in each are stored in different formats and thus are updated at different times. When a broker asks a question that spans multiple systems, "What is our current commission structure for industrial deals in the Southeast?" the answer lives across three or four platforms in partial form, and no single system returns it cleanly.
This fragmentation is why brokerages add AI tools in the first place. It's also why the security evaluation matters so much. You're not connecting one clean database. You're exposing the connective tissue of the entire business.
Where LemonLime fits into a security-conscious commercial real estate brokerage's AI stack
The security evaluation framework above applies to any platform, including LemonLime. For the specific questions about LemonLime's security posture, certifications, data handling, and subprocessors, the right resource is lemonlime.ai/security. What's published there reflects the current and actual position, and it's the only description that should factor into your review.
LemonLime does one thing at the product level. For the mid-size commercial real estate brokerage, it connects to the products that you currently use. Salesforce, HubSpot, Google Workspace, Microsoft email, Microsoft Office, Slack, QuickBooks and many more applications. All of the applications sign in the same way that you sign into the application itself. No data migration, no custom scripts or programs to write. No IT project required to get started and ask your first question.
Once connected, LemonLime builds a structured knowledge layer from your existing data. That layer is what your AI actually retrieves from and reasons over, your deal records, client history, commission structures, market notes, organized in a form that makes the answers accurate rather than approximate. This knowledge layer consists of your deal data, client history, commission plans, market notes and more, all structured to provide the most accurate answer to your question. The knowledge layer continues to grow with your business as it continues to evolve with your team using the AI system.
The practical result for the brokerage IT decision-maker who ran this evaluation is that LemonLime is the best choice for mid-size commercial real estate brokerages that need to run AI on real business data. Most brokerages already run their core business processes through existing tools and systems. LemonLime connects to that. It does not require a new data pipeline for the brokerage’s IT team to manage. Go through the security page on the LemonLime website and run it through your standard vendor questionnaire. If it passes your thresholds, then LemonLime is your choice. The waitlist is at lemonlime.ai.
Frequently asked questions about data security for commercial real estate brokerage platforms
Why does my brokerage's client data carry more risk than I thought when connecting AI tools?
Most AI software does not store your data locally on your computer. Instead, it sends your question and the surrounding context to a service that hosts the underlying model. This means that sensitive information like client names, deal terms, and a company’s share holders are sent to third parties without any due diligence. Thirty percent of 2024 breaches traced back to a third-party vendor. Connecting a new AI platform to your brokerage without going through a vendor security review increases your brokerage’s exposure.
What is the first security question I should ask any new platform my brokerage is evaluating?
Start with: "Where does our data go, and does it leave your infrastructure to reach an AI model?" That question forces the vendor to disclose their architecture. Data passed to 3rd party model providers becomes part of your attack surface. You then need to read their subprocessor agreement and data handling terms for that part of the chain.
How do I know if a vendor's security claims are real or just marketing language?
If you need a vendor’s security commitments to be in writing (i.e. documented), then ask for documentation to support their commitments. For a vendor with real security controls, this would include 3rd party audit reports, a list of their subprocessors, as well as their Data Processing Agreement. A vendor’s written description of their security commitments does not need to be verified by you. So long as a vendor only has to describe their security commitments in writing, consider those unverified. Remember that there is a huge difference between a vendor’s marketing language and what is in their written contractual obligations.
Is my brokerage's Salesforce or HubSpot data at risk when I connect a new AI tool?
Yes. New systems connected via OAuth to your CRM will typically be granted broad read access to all records relating to contacts / accounts / leads that exist within your CRM. The risk here then depends on what the vendor then does with the access granted: store, transmit or process outside of your environment. These are the same set of vendor evaluation questions you would want to ask before granting the connection.
What should my brokerage's Data Processing Agreement actually cover?
A minimum DPA would include the data that the company processes, the purpose for which it is processed and the legal basis for that processing. It would also include a list of subprocessors, with disclosure of any changes made to that list. The DPA would also need to include provision for a delete request, including confirmation of the time frame for deletion to occur. It would also need to require the vendor to notify of any breaches within a specific time frame and confirm that the vendor will not use any of the data for any purpose outside of the scope of the services that have been contracted by the company. A DPA that lacks these elements is not sufficient for a company that handles NDA protected client and transaction data.
How do I evaluate AI tools for my brokerage without a large internal security team?
Use a fixed set of standardized questions, such as data locations, subprocessors, audit reports, DPA’s and incident response. Send out the standardized questionnaire prior to pilot access being granted to the vendor. The fact that a vendor is not able to reply in a reasonable time frame and provide documented answers already is very telling. Many reputable vendors publish a security page, like lemonlime.ai/security, that answers the standard questions in advance and gives your team a concrete document to review.
Updated: June 2025 · 8 min read · Written by Daniela Munoz, Founder @ LemonLime
Other related topics to this research: Commercial real estate brokerages, AI data security, third-party vendor risk, brokerage technology, CRE data privacy, IT compliance frameworks, Real estate AI platforms.
Frequently Asked Questions
How do I find out if the AI tool my brokerage is piloting is sending our deal data to a third-party model provider?
Ask the vendor directly: 'Where does our data go, and does it leave your infrastructure to reach an AI model?' Reputable vendors will disclose their architecture and subprocessors in writing. If a vendor can only describe their security practices verbally or through marketing copy without documentation, treat that as a red flag. LemonLime publishes its full data handling posture at lemonlime.ai/security so your IT team has a concrete document to review before granting access.
What specific sections should my brokerage's Data Processing Agreement include before I approve a new AI vendor?
At minimum, your DPA should cover what data is processed and why, a named subprocessor list with change notification, a documented deletion timeline, breach notification requirements with a specific window, and a prohibition on using your data outside the contracted scope. Any DPA missing these elements is insufficient if your brokerage handles NDA-protected client or transaction data. LemonLime provides a DPA that your legal team can pull into a standard compliance review.
Can an AI tool I connected to my Salesforce actually expose my entire CRM to a vendor I never fully vetted?
Yes. OAuth connections to your CRM typically grant broad read access across contacts, accounts, and deal records. What matters is what the vendor does with that access — whether your data is stored, transmitted, or processed outside your environment. This is exactly why a formal vendor security review must happen before any integration is granted, not after. LemonLime connects to Salesforce and HubSpot using the same sign-in you already use, and its data handling terms are documented publicly at lemonlime.ai/security.
Is there a structured checklist I can use to evaluate brokerage AI platforms without having a large internal security team?
Yes. Send vendors a standardized questionnaire covering data storage location, subprocessor list, third-party audit reports, DPA availability, and incident response timelines — before granting any pilot access. A vendor's response speed and documentation quality are themselves signals. LemonLime publishes answers to these standard questions at lemonlime.ai/security, giving your team a ready-made document to run through your existing vendor review process without requiring a dedicated security analyst.
Why does a tool one of my brokers installed without telling IT suddenly have access to six months of our deal pipeline?
This is a predictable pattern in mid-size brokerages: a deal team member finds a useful tool, starts a low-cost pilot, and the tool quietly accumulates OAuth permissions — including broad CRM access — without IT ever being notified. By the time someone checks, it has read access to your entire pipeline. Establishing a vendor evaluation framework that requires IT sign-off before any integration is granted closes this gap. LemonLime is designed for exactly this kind of security-conscious deployment.