Document Processing
Rexera needed to replace slow, manual, error-prone residential real estate closing workflows with a scalable AI system that could process large legal-document sets, extract critical details, and reduce risks and human effort across transactions.
Reported impact
Rexera processes 5 million pages of real estate documents each month, reduces manual document-processing workloads by 99 percent, saves customers 4 hours of review time per transaction, lowers operational costs by 25 percent, and uses greater than 95 percent accuracy to scale over 5,000 transactions each month.
Rexera runs its AI-assisted closing workflows on AWS, centering the implementation on Amazon Bedrock after a two-week proof of concept and a two-week migration from OpenAI. The system ingests large sets of real estate documents, including homeowners associations' agreements and property records, and uses large language models in Amazon Bedrock to extract critical details, flag obstacles, and identify counterparties such as municipalities, lenders, utilities, and homeowners associations. Rexera applies a multiple-model strategy with Meta's Llama and Anthropic's Claude in Bedrock to reduce hallucinations and bias while keeping operations stable inside its broader AWS environment. Retrieval-augmented generation supplies document-specific context, and downstream AI agents use the extracted facts to verify customer communications, run quality control across transactions, and place calls to confirm property information and request missing documents.
Rexera ingests real estate documents such as homeowners associations' agreements and property records, sends them through Amazon Bedrock with retrieval-augmented context, and uses the extracted facts in downstream AI agents that verify communications, flag transaction issues, and request missing information from counterparties.
After a 2-week proof of concept and a 2-week migration, Rexera moved fully into production on Amazon Bedrock in the second quarter of 2024.
On average, Rexera’s solution saves customers 4 hours on manual document review in each transaction and lowers operational costs by 25 percent.
This tool reduces manual review time by 80 percent and significantly lowers the risk of missing critical information.
Thus, the company reduces manual document-processing workloads for customers by 99 percent and minimizes document-related risks and inaccuracies.
Using AWS, Rexera processes 5 million pages of real estate documents and facilitates over 5,000 transactions each month, and the first workflow that Rexera developed is now used in 1 percent of all US residential real estate transactions.
With a multiple-model approach, we have an accuracy rate of more than 95 percent and need less human intervention in straightforward cases.
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Scoring methodology
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Traceability
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The Organization JSON-LD lists numberOfEmployees value 138 for Rexera (A RealPage Company).
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