Computer-implemented systems and methods for real estate metadata acquisition, cryptographic verification, and smart-contract reconciliation using blockchain and machine learning
View Patent ↗In some approaches, a computer-implemented system acquires and reconciles real estate metadata from diverse sources to detect potential ownership or record discrepancies. The system may submit automated public record requests for government-issued documents (e.g., land development building or zoning permit applications, subsequent permits or logs, or property ownership histories referencing a first owner of record) and extract structured metadata fields—including Tax Map Reference (TMR) values, Parcel Identification (PI) values, or Assessor Parcel (AP) identifier values. By cross-referencing these data with last-owner-of-record information from deeds, liens, or other instruments in public registries, the system verifies authenticity via a cryptographic infrastructure. A blockchain-based audit trail logs transactions for enhanced transparency. Integrating AI and distributed ledger technologies, these implementations streamline real estate transactions, improve data reliability, and facilitate cross-jurisdictional metadata validation.
1 . A blockchain-based metadata-reconciliation system for real-estate records, the system comprising:
(a) a Blockchain Audit Trail Module, including a distributed-ledger processing unit and a cryptographic engine, operable to perform operations comprising:
(i) generating and storing canonicalized cryptographic digests of jurisdiction-specific metadata fields, including Tax Map Reference (TMR) values, Parcel Identification (PI) values, and Assessor Parcel (AP) identifier values, by executing a deterministic parallel hashing routine and recording comparisons between data associated with a first owner of record and a last owner of record in a blockchain ledger;
(ii) storing the canonicalized cryptographic digests as linked Merkle-tree structures recorded across multiple ledger nodes;
(iii) verifying data integrity using a zero-knowledge-proof (ZKP) verifier that detects unauthorized ledger modification while preserving confidentiality of record content; and
(iv) appending authenticated annotations, including supplemental evidence, to the blockchain ledger through Elliptic Curve Digital Signature Algorithm (ECDSA)-secured commit operations executed in a hardware-anchored enclave to prevent exfiltration of cryptographic keys.
2 . The system of claim 1 , further comprising an Intelligent Public-Record Request Generator operable to implement a public-record acquisition subsystem comprising:
(i) a rules parser coupled to an AI-powered compliance engine trained on relevant jurisdiction-specific protocols and operable to parse local regulatory frameworks;
(ii) a request queue operable to generate and submit public-record requests that align with applicable real-estate document guidelines; and
(iii) a tracking datastore operable to track request statuses by logging queries and responses into a blockchain ledger as cryptographically hashed entries that are auditably tamper-evident.
3 . The system of claim 1 , wherein a distributed-ledger processing unit executes Elliptic Curve Digital Signature Algorithm (ECDSA)-secured commit operations that cryptographically sign ledger updates and cryptographically link the updates to historical records to maintain a tamper-evident audit trail.
4 . The system of claim 1 , wherein integration of the zero-knowledge-proof verifier, the Merkle-tree structures, and the Elliptic Curve Digital Signature Algorithm (ECDSA)-secured commit operations provides reduced verification latency, reduced hash-collision propagation, and tamper-evident, privacy-preserving validation of jurisdiction-specific metadata prior to recordation in the blockchain ledger and associated disbursement of real-property transaction funds.