Draft Real Estate Documents by Text Message

An agent texts one sentence at 8:12 p.m.: "Draft the seller disclosure package for 415 Oak Street and send it to Maria and David for signature." The right outcome is not a reminder, a checklist item, or a folder link. It is a complete package. State-specific forms. Correct parties. Correct property. Required fields filled from the transaction file. Signature routing set. That is what it should mean to draft real estate documents by text.

AutoTC was built for that job. It is an autonomous AI transaction coordinator for residential real estate, created by Real Estate AI, LLC. It works over SMS, email, and phone. The flagship capability is simple to describe and hard to execute: an agent sends a plain-language request, and AutoTC drafts the correct real estate document package, routes it for e-signature, and follows up with the humans who need to act.

A text message is only the input. The real work is everything that happens after the sentence arrives.

• Understands the request: AutoTC identifies the transaction, the document package, the parties, and the likely next action.
• Selects the right forms: It uses a form library with hundreds of seeded forms, including state-specific packages.
• Prefills from context: It pulls known facts from the transaction, such as property address, seller names, buyer names, broker information, dates, and file status.
• Asks only when needed: If a required fact is missing or confidence is low, it escalates instead of guessing.
• Routes for signature: It prepares the package for e-signature and sends it to the right people in the right order.
• Chases completion: It follows up over real communication channels, not just an in-app notification.

That last point matters. Many systems stop at document preparation or signature delivery. AutoTC is designed to keep moving the file. It sends, follows up, detects missing signatures, and knows when a personal call from the agent is the better move.

Good real estate document automation is not one feature. It is a chain of small correct decisions. If one link is sloppy, the agent still ends up doing cleanup. AutoTC focuses on four links: form library, field comprehension, transaction context, and signature routing.

A drafting system needs access to the actual forms agents use. AutoTC works from a library of hundreds of seeded forms. That lets it generate complete, state-specific documents instead of producing a generic PDF or a loose template. Coverage starts in California and expands state by state. That is the honest way to handle real estate forms. Local practice matters. State requirements matter. Disclosure packages are not interchangeable.

Forms are dense. The system has to understand what each blank means, what data type belongs there, and which fields require human input. Seller legal name is not the same thing as seller preferred name. Escrow contact is not the same thing as title officer. A signature field is not a disclosure answer. AutoTC maps the fields and fills what it can support from the transaction file.

A document drafter is only useful if it knows the file. AutoTC uses transaction context: executed contract data, property details, parties, deadlines, contingencies, vendor information, and prior file activity. That context keeps the agent from retyping the same facts into every form.

Drafting is not finished when the PDF looks right. The package has to reach the correct signers. AutoTC routes documents for e-signature and runs a signature audit across the file. It knows exactly which signature is missing on which document. That makes e-signature automation useful in the day-to-day file, not just at the moment of send.

Seller disclosures expose the difference between a document reader and a document writer. Reading a completed disclosure is useful. Creating the right disclosure package, getting the seller to answer, placing those answers into the forms, and routing signatures is a larger job.

• AutoTC identifies the required seller disclosure documents for the transaction.
• It sends the seller a plain-language webform instead of dumping a form packet into their inbox.
• The webform localizes to the seller's device language.
• The system follows up on a human-like cadence when the seller has not completed it.
• If chasing stops working, it hands the task back to the agent for a personal call.
• When the seller completes the webform, AutoTC stamps the answers into the actual forms.
• It routes the finished package for signature.

There are good products in this category. DocuSign is strong for electronic signatures. Dotloop and SkySlope support transaction management workflows. Lone Wolf Transactions helps brokerages manage files and compliance. Glide is known for seller disclosure workflows in certain markets. These tools can be useful, and many teams already have them in their stack.

The point is not that those tools are bad. The point is that most tools read documents or hold documents. AutoTC writes the documents, sends them, and chases the humans. That is a different operating model.

AI document drafting real estate tools need guardrails. Real estate paperwork is not a creative writing exercise. A confident wrong answer is worse than no answer. The system has to know its lane.

• Wrong jurisdiction: A generic disclosure form cannot substitute for a state-specific package.
• Missing context: If the system does not know the transaction, it will ask agents to re-enter facts or make bad assumptions.
• Unclear authority: The system must not negotiate terms, interpret legal duties, or tell a client what to answer.
• Poor escalation: If confidence is low, the right move is to stop and ask a human, not fill the blank anyway.
• Disconnected signing: A prepared document that is not routed, tracked, and audited still leaves work on the desk.

AutoTC's compliance position is clear. It performs unlicensed assistant work. It can prepare forms from known facts, route documents, coordinate vendors, track deadlines, order natural hazard disclosure reports, file documents, and send commission demands. It does not give legal or tax advice. It does not negotiate. It does not sign on anyone's behalf.

A text message real estate assistant is only useful if it can act after the message. Otherwise it is another interface to manage. AutoTC works over SMS, email, and phone because transaction work does not live in one tab.

Take a listing file. The agent may need disclosures started, photos booked, a stager confirmed, an inspector scheduled, a natural hazard disclosure ordered, and a deadline tracked. AutoTC can coordinate vendors over real SMS and email. It proposes times, confirms access, and tells the parties. It can order natural hazard disclosure reports and file them. Once a contract is executed, it computes deadlines and contingencies from the contract and tracks them.

The value is not that an agent can type less. The value is that the system can carry the next steps without being babysat. If it cannot, it is a chatbot with a real estate vocabulary. That may be helpful for answers. It is not transaction coordination.

AutoTC is priced by usage. There is no monthly subscription and no per-transaction flat fee. Agents fund a wallet and pay for what the AI actually does.

That matters because transaction work is uneven. One file may need a disclosure package, vendor coordination, signature audits, and deadline tracking. Another may need only a few discrete tasks. Usage-based pricing lines up with that reality better than forcing every file into the same package.

It also keeps the product honest. If the AI does real work, it earns usage. If the agent does not need it, there is no subscription sitting in the background.

Here is the full loop in plain terms.

1. 1The agent texts: "Start seller disclosures for 415 Oak Street and send to Maria and David."
2. 2AutoTC identifies the file and checks the transaction context.
3. 3It selects the required California seller disclosure forms from the seeded library.
4. 4It prefills known fields: property address, seller names, brokerage details, agent information, and file data already available.
5. 5It sends the sellers a plain-language webform localized to their device language.
6. 6It follows up if they do not complete it.
7. 7If the sellers stall, it prompts the agent to make a personal call.
8. 8It stamps completed answers into the forms.
9. 9It routes the package for e-signature.
10. 10It audits the file and reports exactly which signature, if any, is still missing.

That is the standard. Not a generated summary. Not a draft email explaining what the agent should do next. A finished package ready for signature, with the coordination layer attached.

Start with the paperwork that burns the most time and carries the most coordination drag. For many agents, that is the seller disclosure package. Test the workflow on a real file in California, watch what gets drafted automatically, and pay attention to where the system escalates instead of guessing.

If your current stack already handles signatures or file storage well, keep that context. The question is narrower: who is actually writing the documents, sending them, and chasing completion. That is the work AutoTC is built to take off the agent's desk.