Self-authenticating electronic documents

Abstract

A device may track, by an electronic document, authenticity of content of the electronic document. A device may receive, at the electronic document, a request to validate the authenticity of the content of the electronic document. A device may provide, by executing code of the electronic document, a response that validates the authenticity of content of the electronic document.

Description

SELF-AUTHENTICATING ELECTRONIC DOCUMENTS PRIORITY CLAIMS TO RELATED APPLICATIONS

[0001] This application claims priority to U.S. Provisional Patent Application No. 63 / 661,534 filed June 18, 2024, U.S. Provisional Patent Application 63 / 668,068 filed July 5, 2024, U.S. Provisional Patent Application 63 / 674,793 filed July 23, 2024, U.S. Provisional Patent Application 63 / 680,061 filed August 6, 2024, U.S. Provisional Patent Application 63 / 685,234 filed August 20, 2024, U.S. Provisional Patent Application 63 / 693,173 filed September 10, 2024, U.S. Provisional Patent Application 63 / 707,992, filed October 16, 2024, U.S. Provisional Patent Application 63,713,200, filed October 29, 2024, U.S. Provisional Patent Application 63 / 714,009 filed October 30, 2024, U.S. Provisional Patent Application 63 / 723,471 filed November 21, 2024, U.S. Provisional Patent Application 63 / 736,568, filed December 19, 2024, U.S. Provisional Patent Application 63 / 738,639, filed December 24, 2024, U.S. Provisional Patent Application 63 / 774,949, filed March 20, 2025, U.S. Provisional Patent Application 63 / 794,007, filed 24 April, 2025, U.S. Provisional Patent Application 63 / 794,564, filed 25 April, 2025, and U.S. Provisional Patent Application 63 / 800,869, filed 6 May, 2025, and U.S. Provisional Patent Application 63 / 822,629, filed 12 June, 2025, which are each incorporated herein in their entirety by these references which are each incorporated herein in their entirety by these references. BACKGROUND

[0002] In the digital age, electronic documents have become the cornerstone of information exchange, storage, and collaboration across industries. These documents, often in formats such as PDF, Word, or HTML, are widely used for contracts, certifications, tickets, deeds, and other applications. However, the proliferation of electronic documents hasintroduced significant challenges in ensuring their authenticity and integrity. Once shared or distributed, electronic documents are susceptible to unauthorized modifications, forgery, and tampering, which can compromise their reliability and trustworthiness. Current systems for validating document authenticity often rely on external validation services, static digital signatures, or manual verification processes, which are cumbersome, prone to errors, and lack real-time responsiveness. Furthermore, these systems fail to provide a seamless mechanism for tracking the provenance of a document or dynamically validating its content without relying on external tools or intermediaries.

[0003] The need for a self-authenticating electronic document is particularly acute in scenarios where trust and security are paramount, such as legal agreements, certifications, event tickets, and sensitive business transactions. Traditional approaches to document validation, such as watermarking or cryptographic signatures, are limited in their ability to adapt to dynamic content changes or provide real-time validation. Additionally, these methods often require specialized software or external systems, creating inefficiencies and barriers to widespread adoption. As electronic documents increasingly serve as the foundation for workflows and transactions, there is a pressing need for a solution that embeds authenticity tracking and validation capabilities directly within the document itself, enabling it to autonomously manage its integrity and respond to validation requests. SUMMARY

[0004] In some aspects, the techniques described herein relate to a method including: tracking, by an electronic document, authenticity of content of the electronic document; receiving, at the electronic document, a request to validate the authenticity of thecontent of the electronic document; and providing, by executing code of the electronic document, a response that validates the authenticity of content of the electronic document.

[0005] In some aspects, the techniques described herein relate to a system including: at least one physical processor; physical memory including computer-executable instructions that, when executed by the physical processor, cause the physical processor to: track, by an electronic document, authenticity of content of the electronic document; receive, at the electronic document, a request to validate the authenticity of the content of the electronic document; and provide, by executing code of the electronic document, a response that validates the authenticity of content of the electronic document.

[0006] In some aspects, the techniques described herein relate to a non-transitory computer-readable medium including computer-executable instructions that, when executed by at least one of one or more processors of a computing device, cause the computing device to: track, by an electronic document, authenticity of content of the electronic document; receive, at the electronic document, a request to validate the authenticity of the content of the electronic document; and provide, by executing code of the electronic document, a response that validates the authenticity of content of the electronic document.

[0007] These and other features will be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings and claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The accompanying drawings illustrate a number of exemplary embodiments and are a part of the specification. Together with the following description, these drawings demonstrate and explain various principles of the present disclosure.

[0009] FIG. 1 focuses on the document's internal configuration, including embedded instructions, data storage, and a physical processor that facilitate authenticity tracking, validation, and access control.

[0010] FIG. 2 highlights the broader system architecture, showcasing the interaction between servers, networks, and computing devices, as well as the role of the viewer in rendering and managing the document.

[0011] FIG. 3 provides a flowchart detailing the steps involved in dynamically incorporating and validating data within a self-authenticating document.

[0012] Throughout the drawings, identical reference characters and descriptions indicate similar, but not necessarily identical, elements. While the exemplary embodiments described herein are susceptible to various modifications and alternative forms, specific embodiments have been shown by way of example in the drawings and will be described in detail herein. However, the exemplary embodiments described herein are not intended to be limited to the particular forms disclosed. Rather, the present disclosure covers all modifications, equivalents, and alternatives falling within the scope of the appended claims. DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS Introduction

[0013] Authenticating electronic documents, establishing their provenance, and verifying the accuracy of the data they contain are among the most challenging issues in modern digital workflows. As electronic documents have become ubiquitous in industries ranging from legal and financial services to healthcare and education, the need for reliable methods to ensure their integrity and trustworthiness has grown exponentially. Despite advancements in document management systems and security protocols, traditionalapproaches to document authentication remain fraught with inefficiencies, vulnerabilities, and limitations. These shortcomings not only undermine trust in electronic documents but also create significant barriers to their widespread adoption in applications. The introduction of self-authenticating electronic documents offers a transformative solution to these challenges, addressing the inherent disadvantages of traditional electronic document systems.

[0014] One of the primary difficulties in authenticating electronic documents lies in their susceptibility to tampering and forgery. Once a document is shared or distributed, it can be easily modified without the knowledge of its original creator or owner. For example, a contract sent via email can be altered by a recipient, and the changes may go unnoticed until a dispute arises. Similarly, sensitive documents such as certifications, licenses, or deeds can be forged, leading to fraudulent claims and legal complications. Traditional methods of authentication, such as digital signatures or watermarking, provide some level of protection but are often static and unable to adapt to dynamic changes in document content. Moreover, these methods typically require specialized software or external validation services, which can be cumbersome and inaccessible to many users.

[0015] Establishing the provenance of an electronic document is another significant challenge. Provenance refers to the ability to trace the origin, history, and ownership of a document. In many cases, the lack of a clear and reliable mechanism to track a document’s lifecycle leads to disputes over its authenticity and ownership. For instance, in legal proceedings, the inability to prove the origin of a document can render it inadmissible as evidence. Similarly, in business transactions, the lack of provenance can result in mistrust and delays. Current systems for tracking document provenance often rely on external toolsor manual processes, which are prone to errors and inefficiencies. These systems also fail to provide real-time updates, making it difficult to ascertain the current status of a document or its associated metadata.

[0016] Determining the accuracy of the data provided in a document is yet another challenge. Electronic documents often contain critical information that must be verified before it can be trusted. For example, financial reports, medical records, and technical specifications must be accurate to ensure compliance, safety, and reliability. However, traditional methods for verifying document data are often manual and time-consuming, requiring users to cross-reference information with external sources or rely on third-party validation services. These processes are not only inefficient but also introduce additional points of failure, as the accuracy of the validation depends on the reliability of the external sources.

[0017] Self-authenticating electronic documents offer a groundbreaking solution to these challenges by embedding authenticity tracking and validation capabilities directly within the document itself. Unlike traditional methods that rely on external systems or manual processes, self-authenticating documents are equipped with executable code that enables them to autonomously manage their integrity, provenance, and data accuracy. This embedded functionality transforms the document into an active participant in its own authentication, eliminating the need for external validation and ensuring trustworthiness throughout its lifecycle.

[0018] One of the advantages of self-authenticating documents is their ability to track authenticity in real time. By maintaining a record of all changes made to the document, including edits, transfers, and interactions, the document can provide a comprehensive audittrail that proves its integrity. This capability ensures that any unauthorized modifications or tampering are immediately detected and flagged, preventing fraudulent activities and disputes. Additionally, self-authenticating documents can dynamically validate their content in response to user requests, providing real-time assurance of their accuracy and reliability.

[0019] Self-authenticating documents also address the challenge of provenance by embedding unique identifiers and metadata that trace their origin, history, and ownership. These identifiers are cryptographically secure and immutable, ensuring that the document’s provenance cannot be altered or forged. This capability is particularly valuable in legal, financial, and business contexts, where the ability to prove the origin and ownership of a document is critical. By providing a seamless mechanism for tracking provenance, self- authenticating documents eliminate the need for external tools and manual processes, reducing errors and inefficiencies.

[0020] Furthermore, self-authenticating documents enhance data accuracy by integrating validation mechanisms that verify the information contained within the document. For example, a self-authenticating financial report can query external databases to confirm the accuracy of its figures, while a medical record can validate its data against regulatory standards. These capabilities ensure that the document’s content remains accurate and trustworthy, even as it is shared and distributed across different platforms and users.

[0021] In addition to addressing the challenges of authentication, provenance, and data accuracy, self-authenticating documents offer several other advantages over traditional electronic documents. For instance, they enable personalized access control, allowing different users to view different sections of the document based on their roles andpermissions. This capability is particularly useful in scenarios where sensitive information must be protected from unauthorized access. Self-authenticating documents also support dynamic content rendering, enabling real-time updates and interactions that enhance user experience and productivity.

[0022] In conclusion, the difficulties associated with authenticating electronic documents, establishing their provenance, and verifying their data accuracy have long been barriers to their widespread adoption in critical applications. Traditional methods of document management and security are insufficient to address these challenges, leaving users vulnerable to tampering, forgery, and inefficiencies. Self-authenticating electronic documents represent a transformative solution, embedding authenticity tracking, provenance management, and data validation capabilities directly within the document itself. By eliminating the need for external systems and manual processes, self-authenticating documents provide a robust, scalable, and user-friendly approach to modern document management, ensuring trustworthiness and reliability in an increasingly digital world.

[0023] FIGS. 1-3 collectively illustrate the systems, components, and processes that enable electronic documents to function as self-authenticating digital objects. These figures depict the internal structure of a self-authenticating document, the system architecture for managing such documents across networks, and the operational flow for handling data inclusion and validation. FIG. 1 focuses on the document’s internal configuration, including embedded instructions, data storage, and a physical processor that facilitate authenticity tracking, validation, and access control. FIG. 2 highlights the broader system architecture, showcasing the interaction between servers, networks, and computing devices, as well as the role of the viewer in rendering and managing the document. FIG. 3provides a flowchart detailing the steps involved in dynamically incorporating and validating data within a self-authenticating document. Together, these figures demonstrate how the invention addresses challenges related to document authenticity, provenance, and data accuracy, offering a robust and scalable solution for modern digital environments.

[0024] FIG.1 illustrates one embodiment of a document 100 configured as a self- authenticating electronic document. The document 100 comprises instructions 102, data storage 120, data 122, and a physical processor 130. The instructions 102 include tracking instructions 104, receiving instructions 106, providing instructions 108, and access instructions 110. These components collectively enable the document 100 to autonomously manage the authenticity, provenance, and data validation associated with the document.

[0025] The instructions 102 are a set of executable commands embedded within the document 100. These instructions facilitate the document 100 in performing various operations related to authenticity tracking, validation, and access control. The tracking instructions 104 are responsible for maintaining a record of changes made to the document 100, including edits, transfers, and interactions. This ensures that the document 100 can provide an audit trail to verify the integrity of the document 100. The receiving instructions 106 enable the document 100 to process requests for validation, allowing external entities to query the authenticity of the document 100. The providing instructions 108 generate responses to validation requests, ensuring that the document 100 can confirm its authenticity in real time. The access instructions 110 manage user permissions and control access to different sections of the document 100, enhancing security and usability.

[0026] The data storage 120 is a component within the document 100 that stores data 122. The data storage 120 may include metadata, identifiers, and other informationnecessary for the document's self-authentication capabilities. The data 122 represents the content of the document 100, which may include text, images, or other forms of information. The data storage 120 ensures that the data 122 is securely maintained and accessible for validation purposes.

[0027] In some examples, the data of a self-determinative document can include two distinct components: content 124 and metadata 126, each serving a unique purpose in the document’s functionality and lifecycle. Content 124 refers to the core information of the document, such as text, images, tables, or other embedded elements that constitute the primary substance of the document. This content is immutable, meaning it cannot be altered once the document has been finalized or authenticated. The immutability of content 124 ensures the integrity and trustworthiness of the document, making it suitable for applications where the original state of the document must be preserved, such as legal agreements, financial reports, or medical records.

[0028] On the other hand, metadata 126 represents supplementary information about the document, such as timestamps, user interactions, access logs, version history, or contextual details. Unlike the immutable content, metadata 126 is mutable and can be updated or modified as the document evolves. For example, metadata can record the identity of users who accessed the document, the time and date of interactions, or the addition of comments or annotations. This mutability allows the document to dynamically track its lifecycle and provide real-time insights into its usage and provenance. By separating immutable content from mutable metadata, the document achieves a balance between preserving its core integrity and enabling flexibility for operational and contextual updates.This dual structure ensures that the document remains both reliable and adaptable, meeting the needs of secure and dynamic digital environments.

[0029] Metadata plays a central role in the functionality and transformative potential of smart documents (i.e., documents that are digital infrastructure). It provides a structured, machine-readable layer of information that goes beyond the visual representation of a document, enabling advanced computational interactions, dynamic workflows, and granular access control. Metadata can be categorized into several distinct types, each serving a unique purpose in enhancing the utility and intelligence of a document. These categories include process metadata, semantic metadata, and content-related metadata, among others. Below is a detailed explanation of these metadata types, with examples drawn from the discussion.

[0030] Process metadata captures the history and lifecycle of a document, recording every action, interaction, and workflow the document has undergone. This type of metadata serves as an audit trail, providing a comprehensive record of the document’s journey and the processes it has been part of. For example, process metadata can include timestamps for when the document was created, edited, shared, or signed. It could also log the identities of users who accessed the document, the nature of their interactions (e.g., viewing, commenting, or editing), and any changes made to the document’s content or metadata.

[0031] Semantic metadata describes the intrinsic characteristics of a document, answering the question of "what the document is" rather than "what the document contains." This type of metadata includes information about the document’s type, ownership, and categorical classification. For example, semantic metadata can indicate that a document is anNDA (Non-Disclosure Agreement), a marketing presentation, or a financial report. It can also specify the document’s owner, such as the individual or organization responsible for its creation and management.

[0032] Semantic metadata is particularly useful for organizing and categorizing documents within a system. For instance, in an enterprise setting, semantic metadata can be used to group all contracts under a "Legal Documents" category, all invoices under a "Finance Documents" category, and all marketing materials under a "Marketing Documents" category. This categorization enables efficient search and retrieval, as users can query the system to find all documents of a specific type or category.

[0033] Content-related metadata provides a structured representation of the document’s content, breaking it down into machine-readable elements such as paragraphs, headings, tables, and images. This type of metadata enables advanced computational interactions with the document, such as semantic analysis, automated workflows, and dynamic rendering.

[0034] The physical processor 130 is a hardware component that executes the instructions 102 embedded within the document 100. The physical processor 130 enables the document 100 to perform functions such as detecting signing actions, recording signatures, and managing the lifecycle of the document. This integration of hardware and software allows the document 100 to operate independently, adapting to various user environments and workflows.

[0035] An electronic document with embedded computer-executable code, which is also referred to herein as a smart electronic document, generally refers to a type of electronic document embedded with intelligence that enables it to autonomously monitor,record, and manage events associated with its lifecycle, access, and interactions. Unlike traditional documents, which depend on external systems or manual input to track changes and interactions, smart electronic documents are designed to independently identify and log activities such as access attempts, modifications, and interactions with other documents or systems.

[0036] The embedded intelligence within a smart electronic document allows it to maintain a detailed audit trail, offering insights into who accessed the document, when it was accessed, and what actions were performed. This capability is invaluable for ensuring compliance with regulatory requirements and organizational policies, as it provides a reliable and tamper-proof record of all document-related activities.

[0037] Smart electronic documents also enhance security by dynamically managing access permissions through mechanisms such as role-based access control, encryption, and multi-factor authentication. These documents ensure that only authorized users can view or modify their content. By transforming documents into active entities capable of self-monitoring and self-regulation, organizations can significantly reduce the risk of unauthorized access and data breaches while streamlining document management processes and maintaining data integrity. A smart electronic document is composed of code (i.e., intelligence), content, and metadata, which together enable its autonomous functionalities.

[0038] The attributes of a smart electronic document are multifaceted and address one or more of the limitations of traditional document management systems. For example, a smart electronic document is uniquely addressable, meaning it has a permanent and immutable identifier that distinguishes it from all other documents. This identifierensures that the document can be reliably accessed and referenced, regardless of its location. Additionally, the document is equipped with machine-readable metadata that captures detailed information about its interactions, such as timestamps, user credentials, geolocation data, and the nature of the interaction. This metadata is not only comprehensive but also structured in a way that supports automated processing and analysis, enabling advanced functionalities such as real-time auditing and compliance verification.

[0039] Another attribute of a smart electronic document is its ability to maintain version control. When changes need to be made to the document, a new uniquely addressable version is created, rather than altering the original document. This approach preserves the integrity of the original document while providing a clear record of its evolution. Each version is assigned its own unique identifier, ensuring that it can be independently accessed and verified. The relationship between versions is also recorded, creating a hierarchical structure that allows users to trace the document’s history and understand the context of each modification. For example, if a contract is updated to include new terms, the updated version will reference the original version, enabling auditors to compare the two and verify the changes.

[0040] The creation of new versions is governed by strict rules and cryptographic mechanisms to ensure authenticity and prevent unauthorized modifications. When a user or system initiates a change, the smart electronic document generates a cryptographic signature that validates the modification and ties it to the new version. This signature is stored as part of the document’s metadata, providing a tamper-proof record of the change. Additionally, the document’s embedded intelligence ensures that all changes are logged in its audit trail, capturing details such as who made the change, when it was made, and why it was made. Thislevel of detail not only supports transparency but also enhances security by making it virtually impossible to alter the document without leaving a trace.

[0041] In some examples, the immutability of the content in a smart electronic document is a foundational characteristic that ensures the integrity, reliability, and trustworthiness of the document throughout its lifecycle. This immutability is achieved through a combination of technical mechanisms and design principles, which are explained below.

[0042] The “content” of a smart electronic document refers to the core information that constitutes the document, such as text, images, tables, or other embedded elements. This content is distinct from metadata (which provides supplementary information about the document, such as timestamps, user interactions, and version history) and executable code (which enables the document's intelligent functionalities). The immutability applies specifically to the content, ensuring that it remains unchanged once the document is finalized or authenticated.

[0043] To ensure immutability, the content of a smart electronic document can be cryptographically hashed at the time of its creation or finalization. A cryptographic hash is a unique, fixed-length string generated from the content using a hashing algorithm (e.g., SHA- 256). This hash acts as a digital fingerprint of the content. If even a single character or pixel in the content is altered, the hash will change, making it immediately evident that the content has been tampered with.

[0044] Any system or user accessing the document can verify its integrity by recalculating the hash and comparing it to the original hash stored in the document's metadata. If the hashes match, the content is confirmed to be unchanged.

[0045] In cases where changes to the document are necessary (e.g., updates or amendments), the smart electronic document does not alter the original content. Instead, it creates a new version of the document with its own unique identifier and cryptographic hash. The original version remains intact and accessible, ensuring that the history of the document is preserved. Each version of the document is uniquely addressable and linked to the previous versions, creating a hierarchical structure that allows users to trace the evolution of the document. This approach ensures that the original content is never overwritten or lost.

[0046] In some embodiments, the smart electronic document may leverage distributed ledger technology to ensure immutability. The content and its associated hash can be recorded on a distributed ledger, where each entry is cryptographically secured and immutable. This approach provides an additional layer of protection, as the distributed ledger ensures that the content cannot be altered without consensus from the network.

[0047] The smart electronic document separates its content from other mutable elements, such as metadata and executable code. While metadata and code can be updated to reflect new interactions or functionalities, the content layer remains fixed and unchangeable. This separation ensures that the core information of the document is preserved, even as the document evolves in other ways.

[0048] The smart electronic document can provides transparency to users by enabling them to verify the authenticity and integrity of the content at any time. This transparency is achieved through audit trails and visual indicators, ensuring that users can trust the document’s reliability and security.

[0049] The physical processor 130 is a hardware component responsible for executing the instructions 102. By processing the embedded commands, the physicalprocessor 130 allows the document 100 to independently perform self-authentication functions. The physical processor 130 may interact with the data storage 120 to retrieve or update data 122 as specified by the instructions 102. Furthermore, the physical processor 130 supports the document's capability to respond to validation requests and manage access control in a dynamic manner.

[0050] In some embodiments, the document 100 may operate independently or in conjunction with external systems to enhance functionality. For example, the document 100 may query external databases or validation services to confirm the accuracy of data 122. This capability helps maintain the reliability and trustworthiness of the document 100 throughout its lifecycle.

[0051] FIG. 2 illustrates one embodiment of a system 200 for managing self- authenticating electronic documents across a networked environment. The system 200 comprises a server 206, a document 210, a network 204, a computing device 202, a physical processor 220, memory 240, and a viewer 260. The server 206 interacts with the computing device 202 via the network 204 to facilitate operations related to the self-authentication, validation, and rendering of the document 210.

[0052] The server 206 is a computing system that hosts the document 210. The document 210 may be stored on the server 206 and accessed remotely by other components of the system 200. The server 206 may perform operations such as maintaining the integrity of the document 210, processing validation requests, and managing metadata associated with the document 210. In some embodiments, the server 206 may also interact with external validation services or databases to enhance the document’s authentication capabilities.

[0053] The network 204 connects the server 206 to the computing device 202, enabling communication and data exchange between these components. The network 204 may include wired or wireless communication channels, such as the Internet, local area networks (LANs), or wide area networks (WANs). The network 204 facilitates the transmission of the document 210 and associated data, ensuring seamless interaction between the server 206 and the computing device 202.

[0054] The computing device 202 is a user-operated device that interacts with the server 206 to access and manage the document 210. The computing device 202 comprises a physical processor 220, memory 240, and a viewer 260. The physical processor 220 executes instructions stored in the memory 240 to perform operations related to the document 210, such as rendering, validation, and access control. The memory 240 stores data and executable instructions necessary for the computing device 202 to interact with the server 206 and the document 210.

[0055] The viewer 260 is a software application or module within the computing device 202 that renders the document 210 for user interaction. The viewer 260 may provide functionalities such as displaying the content of the document 210, processing user inputs, and facilitating validation requests. In some embodiments, the viewer 260 may also support dynamic content rendering and personalized access control, enhancing the usability and security of the document 210.

[0056] FIG.3 illustrates a flowchart detailing an exemplary method for dynamically incorporating and validating data within a self-authenticating electronic document. The figure outlines the steps involved in receiving a request to include a portion of data from an existing document, leaving another portion of the data within the original document, and storing theselected portion within the self-authenticating document. This process highlights the document’s ability to autonomously manage its content and ensure its authenticity throughout its lifecycle. By enabling selective data inclusion and validation, the method depicted in FIG.3 demonstrates how self-authenticating documents can address challenges related to data integrity, provenance, and secure content management in modern digital environments.

[0057] Step 310 involves receiving a request to include a portion of data from an existing document into a self-authenticating electronic document. This step is as it initiates the process of selectively incorporating data while maintaining the integrity and authenticity of both the original document and the self-authenticating document. The request can originate from various sources, such as a user, an automated system, or an external application, and may be triggered by different scenarios. For example, a user can request to extract specific clauses from a legal contract to create a summary document for internal review. Alternatively, a financial analyst can request to include only the revenue figures from a comprehensive financial report into a self-authenticating document for presentation purposes. In another scenario, a healthcare provider can request to extract patient demographic data from a medical record to create a referral document while leaving sensitive medical history in the original record.

[0058] The request can be made through various interfaces, such as a graphical user interface (GUI) in a document viewer, an API call from an external application, or even a voice command in systems equipped with natural language processing capabilities. For instance, a user interacting with a document viewer can highlight specific sections of a document and use a "Create Self-Authenticating Document" option to initiate the request.Alternatively, an enterprise application can programmatically send a request to extract data based on predefined rules, such as pulling all invoice numbers from a batch of invoices for reconciliation purposes.

[0059] The type of data requested for inclusion can vary widely depending on the context. It may include text, images, tables, metadata, or even embedded files. For example, a marketing team can request to include only the product specifications from a technical document into a self-authenticating document for distribution to clients. In another example, a project manager can request to extract task deadlines from a project plan to create a self- authenticating timeline document for team members.

[0060] Step 310 also supports various alternatives for handling the request. For instance, the system may allow users to specify conditions for data inclusion, such as extracting only data that meets certain criteria (e.g., dates within a specific range or values above a threshold). Additionally, the system may provide options for formatting the extracted data, such as converting tables into charts or summarizing text into bullet points. In some embodiments, the system may offer preview functionality, allowing users to review the selected data before finalizing its inclusion in the self-authenticating document.

[0061] Furthermore, the request may involve complex scenarios where data from multiple documents is aggregated into a single self-authenticating document. For example, a compliance officer can request to compile audit findings from several reports into a unified self-authenticating document for regulatory submission. In such cases, step 310 ensures that the provenance and authenticity of each data source are preserved, providing a comprehensive audit trail for the aggregated document.

[0062] Overall, step 310 is a versatile and dynamic process that accommodates a wide range of use cases, interfaces, and data types. By enabling selective data inclusion, it empowers users and systems to create self-authenticating documents tailored to specific needs while maintaining the integrity and trustworthiness of the original and resulting documents.

[0063] Step 320 involves leaving a different portion of the data from the existing document within the original document while selectively incorporating other portions into the self-authenticating electronic document. This step is essential for ensuring that the original document retains its integrity and completeness, even as specific data is extracted for inclusion in the self-authenticating document. The process allows for the preservation of the original document’s context, structure, and content while enabling the creation of a new document tailored to specific needs. For example, in a legal scenario, a user can extract specific clauses from a contract to create a summary document for internal review while leaving the remaining clauses, such as boilerplate provisions, within the original contract. This ensures that the original contract remains intact and usable for other purposes.

[0064] The decision to leave certain portions of data within the original document can be based on various criteria, such as relevance, sensitivity, or access permissions. For instance, in a healthcare context, a medical record can contain both demographic information and detailed medical history. A healthcare provider can choose to extract only the demographic information for a referral document while leaving the sensitive medical history within the original record to comply with privacy regulations. Similarly, in a financial context, a comprehensive report can include revenue figures, expense details, and projections. Afinancial analyst can extract only the revenue figures for a presentation while leaving the expense details and projections within the original report for internal use.

[0065] Step 320 also supports scenarios where the original document must remain unaltered for compliance or archival purposes. For example, in regulatory submissions, certain documents must be preserved in their entirety to meet legal requirements. In such cases, the system ensures that the original document remains unchanged while allowing specific data to be extracted and incorporated into a self-authenticating document for analysis or reporting. This capability is particularly valuable in industries such as finance, healthcare, and government, where document integrity is critical.

[0066] Alternatives for implementing step 320 include providing users with options to annotate or tag the portions of data left within the original document. For instance, a user can highlight sections of a document to indicate that they are excluded from the self- authenticating document but remain part of the original. These annotations can serve as a reference for future interactions with the document, ensuring clarity and traceability. Additionally, the system may allow users to specify conditions for leaving data within the original document, such as excluding data that meets certain criteria (e.g., sensitive information or proprietary content).

[0067] In some embodiments, step 320 may involve creating a metadata record within the original document to indicate the portions of data that were extracted. This metadata can include information such as the date of extraction, the user who performed the operation, and the purpose of the extraction. Such metadata ensures that the original document retains a comprehensive history of interactions, enhancing its provenance and auditability.

[0068] Furthermore, step 320 can accommodate scenarios where the original document is shared with multiple parties, each requiring access to different portions of the data. For example, in a collaborative project, a project manager can extract task deadlines for a timeline document while leaving budget details within the original project plan for access by the finance team. This selective data management ensures that each stakeholder receives the information relevant to their role without compromising the integrity of the original document.

[0069] Overall, step 320 is a process that balances the need to extract specific data for new purposes with the requirement to preserve the original document’s integrity and usability. By enabling selective data retention, it ensures that the original document remains a reliable and complete source of information while supporting the creation of self- authenticating documents tailored to specific needs.

[0070] Step 330 involves receiving the portion of data from the existing document to store within the self-authenticating electronic document. This step is crucial for ensuring that the selected data is securely incorporated into the new document while maintaining its authenticity and provenance. The process begins with identifying the specific data to be transferred, which may include text, images, tables, metadata, or other content types. For example, in a legal context, a user can extract specific clauses from a contract, such as payment terms or confidentiality provisions, to create a self-authenticating summary document for internal review. Similarly, in a healthcare scenario, a provider can extract patient demographic information from a medical record to create a referral document while ensuring that the extracted data is accurately represented and securely stored.

[0071] The system may employ various mechanisms to receive and process the selected data. For instance, the data can be transferred through a secure interface, such as an API, ensuring that the integrity of the data is preserved during the transfer. Alternatively, the system may use cryptographic methods to verify the authenticity of the data before incorporating it into the self-authenticating document. In some embodiments, the system may allow users to preview the selected data before finalizing its inclusion, providing an additional layer of validation and control.

[0072] Step 330 also supports scenarios where the extracted data is transformed or reformatted before being stored in the self-authenticating document. For example, a financial analyst can extract revenue figures from a report and request that the system convert the data into a chart or graph for presentation purposes. Similarly, a project manager can extract task deadlines from a project plan and request that the system organize the data into a timeline format. These transformations ensure that the data is presented in a manner that is most useful for the intended application while maintaining its authenticity.

[0073] In some embodiments, the system may generate metadata associated with the extracted data, such as timestamps, user identifiers, or contextual information about the extraction process. This metadata is stored alongside the data in the self-authenticating document, providing a comprehensive record of the data’s provenance and ensuring that the document remains trustworthy throughout its lifecycle. For example, in a regulatory context, the metadata can include information about the source document, the user who performed the extraction, and the purpose of the extraction, enabling auditors to verify the authenticity and compliance of the self-authenticating document.

[0074] Step 330 also accommodates scenarios where data from multiple documents is aggregated into a single self-authenticating document. For instance, a compliance officer can compile findings from several audit reports into a unified document for regulatory submission. In such cases, the system ensures that the provenance and authenticity of each data source are preserved, providing a robust audit trail for the aggregated document. Additionally, the system may allow users to specify conditions for data inclusion, such as extracting only data that meets certain criteria (e.g., values above a threshold or dates within a specific range).

[0075] Overall, step 330 is a dynamic and versatile process that enables the secure and reliable incorporation of selected data into self-authenticating documents. By supporting various data types, transformations, and metadata generation, it ensures that the resulting document is tailored to specific needs while maintaining the integrity and trustworthiness of the extracted data. This capability is particularly valuable in industries such as legal, healthcare, finance, and government, where the accuracy and authenticity of document content are critical.

[0076] Tracking the authenticity of the content of an electronic document by maintaining its provenance is a feature that ensures the document’s integrity and trustworthiness throughout its lifecycle. Provenance refers to the ability to trace the origin, history, and ownership of a document, including all interactions, modifications, and transfers it has undergone. For example, in a legal context, maintaining provenance can involve recording the creation date of a contract, the identity of its author, and the sequence of edits made by various parties during negotiations. This record could also include timestamps for each modification, the identity of the individuals who made the changes, and the specificsections of the document that were altered. Such detailed provenance ensures that the document can be reliably authenticated and used as evidence in legal proceedings, as it provides a clear and immutable history of its lifecycle.

[0077] In another example, maintaining provenance could be applied to a financial report shared among multiple stakeholders. The electronic document can track the origin of the report, including the department or individual responsible for its creation, and record every instance where the report was accessed, edited, or shared. For instance, if a financial analyst updates revenue figures, the document could log the date and time of the update, the analyst’s credentials, and the source of the new data. This level of provenance ensures that the report remains accurate and trustworthy, even as it is distributed across different teams or external auditors.

[0078] Provenance can also be critical in healthcare applications, where medical records are shared among providers, insurers, and patients. For example, an electronic medical record can maintain provenance by recording the creation of the record by a physician, updates made by specialists, and any access by insurance companies for claims processing. The document could also track the addition of diagnostic results, prescriptions, and treatment plans, ensuring that every interaction with the record is logged and traceable. This capability not only enhances the security and reliability of the medical record but also ensures compliance with privacy regulations, such as HIPAA, by providing a clear audit trail of access and modifications.

[0079] Alternatives for maintaining provenance could include embedding cryptographic identifiers within the document to ensure that its history cannot be tampered with. For instance, each interaction with the document could generate a cryptographic hashthat is stored alongside the document’s metadata. This hash would serve as a secure and immutable record of the document’s state at each point in time, allowing users to verify its authenticity and detect any unauthorized changes. Another alternative could involve linking the document to a blockchain ledger, where each interaction or modification is recorded as a transaction. This approach would provide a decentralized and tamper-proof mechanism for maintaining provenance, making it particularly suitable for applications requiring high levels of security and transparency.

[0080] In some embodiments, maintaining provenance can also involve integrating external validation services to confirm the authenticity of the document’s content. For example, a self-authenticating electronic document could query a trusted database to verify the accuracy of specific data points, such as financial figures or regulatory compliance information. The results of these queries could be logged as part of the document’s provenance, providing additional assurance of its authenticity.

[0081] Overall, maintaining provenance as part of tracking the authenticity of an electronic document is a versatile and powerful feature that addresses challenges related to trust, security, and accountability. By providing a comprehensive and immutable record of the document’s lifecycle, this capability ensures that the document remains reliable and trustworthy, even as it is shared, modified, and distributed across various platforms and users. This functionality is particularly valuable in industries such as legal, healthcare, finance, and government, where the integrity and authenticity of documents are paramount.

[0082] Tracking the authenticity of the content of an electronic document by storing an identifier of a third-party validation service introduces a robust mechanism for ensuring the document’s integrity and trustworthiness. This approach leverages externalvalidation services to authenticate the document’s content, providing an additional layer of security and reliability. The identifier, which may be a unique reference such as a URL, API key, or cryptographic token, is embedded within the document and serves as a link to the third-party validation service. For example, in a legal context, a contract can store an identifier pointing to a trusted notary service that can verify the document’s signatures and timestamps. When a user queries the document for authenticity, the identifier is used to contact the notary service, which responds with information confirming the validity of the signatures and the document’s creation date.

[0083] In another example, a financial report can store an identifier linked to a regulatory compliance database. When the document is queried, the identifier is used to access the database, which verifies that the financial figures comply with relevant regulations. This ensures that the report remains accurate and trustworthy, even as it is shared across different teams or external auditors. Similarly, in healthcare applications, an electronic medical record can store an identifier pointing to a certification authority that validates the credentials of the healthcare providers who contributed to the record. When queried, the identifier allows the document to retrieve information confirming that the record was created and updated by authorized personnel, ensuring compliance with privacy and security standards such as HIPAA.

[0084] The process of providing the response involves using the stored identifier to query the third-party validation service and receiving information authenticating the document’s content. For instance, the document can send a request to the validation service using the identifier, which could include additional metadata such as the document’s unique ID, timestamps, or user credentials. The validation service processes the request and returnsinformation confirming the document’s authenticity, such as a cryptographic signature, a validation certificate, or a detailed audit report. This response is then embedded within the document or displayed to the user, providing real-time assurance of the document’s integrity.

[0085] Alternatives to this approach could involve using multiple identifiers to query different validation services, ensuring comprehensive authentication. For example, a legal agreement can store identifiers for both a notary service and a blockchain ledger, allowing the document to verify its authenticity through two independent sources. Another alternative could involve periodic querying of the validation service to ensure that the document’s authenticity remains up-to-date. For instance, a compliance report can automatically query the validation service at regular intervals to confirm that its data remains accurate and compliant with evolving regulations.

[0086] In some embodiments, the identifier could be dynamically updated to reflect changes in the validation service or the document’s content. For example, if a document undergoes revisions, the identifier could be updated to point to a new validation record that reflects the changes. This ensures that the document’s authenticity remains consistent with its current state. Additionally, the identifier could be encrypted to prevent unauthorized access or tampering, further enhancing the security of the validation process.

[0087] Overall, tracking the authenticity of an electronic document by storing an identifier of a third-party validation service and using it to query the service provides a powerful and flexible mechanism for ensuring document integrity. By leveraging trusted external sources, this approach addresses challenges related to trust, security, and accountability, making it particularly valuable in industries such as legal, healthcare, finance,and government. It ensures that the document remains reliable and trustworthy throughout its lifecycle, even as it is shared, modified, and distributed across various platforms and users.

[0088] Event Tickets:

[0089] Self-authenticating documents can authenticate event tickets by embedding metadata that includes the ticket’s validity, event details, and seating assignment. Embedded intelligence within the document can use this metadata to verify the ticket’s authenticity in response to a user’s request, such as scanning a QR code or entering a ticket number. For example, when a user attempts to access the ticket, the embedded intelligence can cross-reference the metadata with the event organizer’s database to confirm that the ticket is valid, has not been duplicated, and matches the event’s seating chart. This ensures that fraudulent tickets are flagged and denied access.

[0090] Certificates of Completion:

[0091] Certificates of completion can be authenticated by embedding validation data, such as the recipient’s name, course details, and completion date, along with a cryptographic signature from the issuing institution. Embedded intelligence can respond to a user’s query by verifying the certificate’s authenticity against the institution’s database. For instance, if an employer requests validation, the embedded intelligence can confirm that the certificate matches the institution’s records and has not been altered, ensuring trust in the document’s integrity.

[0092] Professional Licenses:

[0093] Professional licenses can include embedded cryptographic signatures and expiration dates to ensure their validity. Embedded intelligence can use this information to authenticate the license in real time. For example, when a regulatory body queries thedocument, the embedded intelligence can verify the license’s status, confirm compliance with licensing requirements, and flag expired or revoked licenses. This ensures that only valid licenses are accepted for professional activities.

[0094] Property Deeds:

[0095] Property deeds can be authenticated by embedding provenance data, such as ownership history, legal status, and registration details. Embedded intelligence can respond to a user’s request by verifying the deed’s authenticity against government or registry databases. For example, during a real estate transaction, the embedded intelligence can confirm that the deed is valid, trace its ownership history, and ensure that no unauthorized modifications have been made.

[0096] Invoices:

[0097] Invoices can include embedded transaction records, such as payment status, amounts, and dates. Embedded intelligence can authenticate the invoice by cross- referencing this data with payment processing systems. For instance, when a vendor queries the invoice, the embedded intelligence can confirm that the payment has been received, the amounts match the transaction records, and the invoice has not been tampered with.

[0098] Tax Returns:

[0099] Tax returns can be authenticated by embedding filing status, compliance data, and timestamps. Embedded intelligence can use this information to validate the return in response to a query from a tax authority. For example, the embedded intelligence can confirm that the return was filed on time, matches the taxpayer’s records, and adheres to regulatory requirements, ensuring accuracy and compliance.

[0100] Insurance Policies:

[0101] Insurance policies can include embedded coverage details, policyholder information, and expiration dates. Embedded intelligence can authenticate the policy by verifying this data against the insurer’s database. For instance, when a claim is filed, the embedded intelligence can confirm that the policy is active, covers the claimed event, and has not been altered, ensuring smooth processing of claims.

[0102] Scientific Research Papers:

[0103] Scientific research papers can embed peer-review records, publication details, and authorship information. Embedded intelligence can authenticate the paper by verifying these details against academic databases. For example, when a researcher queries the document, the embedded intelligence can confirm that the paper was peer-reviewed, published in a reputable journal, and authored by the listed individuals, ensuring credibility.

[0104] Patents:

[0105] Patents can include embedded registration data, legal status, and expiration dates. Embedded intelligence can authenticate the patent by cross-referencing this data with patent office databases. For instance, when a company queries the patent, the embedded intelligence can confirm its validity, ensure compliance with legal requirements, and flag expired or invalid patents.

[0106] Blueprints:

[0107] Blueprints can embed version history, approval records, and design specifications. Embedded intelligence can authenticate the blueprint by verifying these details against architectural databases. For example, during construction, the embedded intelligence can confirm that the blueprint matches the approved design and has not been altered, ensuring compliance with building codes.

[0108] Medical Prescriptions:

[0109] Medical prescriptions can include embedded dispensing history, patient information, and validation data. Embedded intelligence can authenticate the prescription by verifying these details against pharmacy databases. For instance, when a pharmacist queries the document, the embedded intelligence can confirm that the prescription is valid, matches the patient’s records, and adheres to medical standards.

[0110] Contracts:

[0111] Contracts can embed execution records, terms, and timestamps. Embedded intelligence can authenticate the contract by verifying these details against legal repositories. For example, during a dispute, the embedded intelligence can confirm that the contract was executed properly, matches the agreed terms, and has not been altered, ensuring enforceability.

[0112] Employment Agreements:

[0113] Employment agreements can include embedded employee details, terms, and compliance data. Embedded intelligence can authenticate the agreement by verifying these details against HR systems. For instance, when an employer queries the document, the embedded intelligence can confirm that the agreement matches the employee’s records and adheres to labor laws.

[0114] Academic Transcripts:

[0115] Academic transcripts can embed course completion records, grades, and institution details. Embedded intelligence can authenticate the transcript by verifying these details against the institution’s database. For example, when a university queries thedocument, the embedded intelligence can confirm that the transcript is accurate and matches the institution’s records.

[0116] Warranty Certificates:

[0117] Warranty certificates can include embedded coverage details, expiration dates, and product information. Embedded intelligence can authenticate the certificate by verifying these details against the manufacturer’s database. For instance, when a customer queries the document, the embedded intelligence can confirm that the warranty is active and covers the claimed issue.

[0118] Shipping Manifests:

[0119] Shipping manifests can embed tracking information, shipment details, and timestamps. Embedded intelligence can authenticate the manifest by verifying these details against logistics systems. For example, during delivery, the embedded intelligence can confirm that the shipment matches the manifest and has not been tampered with.

[0120] Receipts:

[0121] Receipts can include embedded purchase details, payment records, and timestamps. Embedded intelligence can authenticate the receipt by verifying these details against point-of-sale systems. For instance, during a return, the embedded intelligence can confirm that the receipt matches the transaction and has not been altered.

[0122] Voting Records:

[0123] Voting records can embed validation data, timestamps, and voter information. Embedded intelligence can authenticate the record by verifying these details against election databases. For example, during an audit, the embedded intelligence can confirm that the vote is valid and matches the voter’s registration.

[0124] Membership Cards:

[0125] Membership cards can include embedded membership status, privileges, and expiration dates. Embedded intelligence can authenticate the card by verifying these details against the organization’s database. For instance, when a member queries the document, the embedded intelligence can confirm that the card is active and matches the member’s records.

[0126] Software Licenses:

[0127] Software licenses can embed activation records, usage rights, and expiration dates. Embedded intelligence can authenticate the license by verifying these details against the software provider’s database. For example, during installation, the embedded intelligence can confirm that the license is valid and matches the user’s records.

[0128] Building Permits:

[0129] Building permits can include embedded approval records, scope details, and expiration dates. Embedded intelligence can authenticate the permit by verifying these details against municipal databases. For instance, during construction, the embedded intelligence can confirm that the permit is valid and matches the approved plans.

[0130] Travel Itineraries:

[0131] Travel itineraries can embed booking details, updates, and timestamps. Embedded intelligence can authenticate the itinerary by verifying these details against travel agency systems. For example, during check-in, the embedded intelligence can confirm that the itinerary matches the booking and has not been altered.

[0132] Bank Statements:

[0133] Bank statements can include embedded account details, transaction history, and timestamps. Embedded intelligence can authenticate the statement by verifying these details against financial institution databases. For instance, during an audit, the embedded intelligence can confirm that the statement matches the account records.

[0134] Legal Briefs:

[0135] Legal briefs can embed filing records, case details, and timestamps. Embedded intelligence can authenticate the brief by verifying these details against court databases. For example, during a hearing, the embedded intelligence can confirm that the brief matches the case records.

[0136] Engineering Specifications:

[0137] Engineering specifications can include embedded compliance records, technical requirements, and version history. Embedded intelligence can authenticate the specifications by verifying these details against standards organizations. For instance, during manufacturing, the embedded intelligence can confirm that the specifications match the approved design.

[0138] Product Manuals:

[0139] Product manuals can embed version history, updates, and product details. Embedded intelligence can authenticate the manual by verifying these details against the manufacturer’s database. For example, during troubleshooting, the embedded intelligence can confirm that the manual matches the product’s specifications.

[0140] Press Releases:

[0141] Press releases can include embedded publication records, source details, and timestamps. Embedded intelligence can authenticate the release by verifying thesedetails against media organization databases. For instance, during distribution, the embedded intelligence can confirm that the release matches the original publication.

[0142] Artwork Certificates of Authenticity:

[0143] Artwork certificates can embed provenance data, creator information, and timestamps. Embedded intelligence can authenticate the certificate by verifying these details against art registries. For example, during a sale, the embedded intelligence can confirm that the certificate matches the artwork’s history.

[0144] Cryptocurrency Wallets:

[0145] Cryptocurrency wallets can include embedded transaction history, ownership records, and cryptographic keys. Embedded intelligence can authenticate the wallet by verifying these details against blockchain ledgers. For instance, during a transaction, the embedded intelligence can confirm that the wallet matches the owner’s records.

[0146] Compliance Reports:

[0147] Compliance reports can embed validation data, timestamps, and regulatory details. Embedded intelligence can authenticate the report by verifying these details against regulatory databases. For example, during an audit, the embedded intelligence can confirm that the report matches the compliance requirements.

[0148] By embedding intelligence within the document, self-authenticating documents can autonomously validate their content in response to user or system queries, ensuring trustworthiness and reliability across a wide range of applications. This approach eliminates the need for external validation systems and enhances the security, provenance, and accountability of electronic documents.

[0149] Validity and authenticity are two distinct yet interconnected concepts that play critical roles in the evaluation and management of documents, particularly in contexts where trust and reliability are paramount. While both terms are often used interchangeably in casual discourse, their meanings diverge significantly when applied to the technical and legal domains. Understanding the difference between these concepts enables ensuring the integrity of documents and their associated workflows.

[0150] Authenticity refers to the ability to verify that a document is genuine and unaltered from its original state. It is fundamentally concerned with the provenance and integrity of the document, ensuring that it has not been tampered with or forged. Authenticity is rooted in the idea that a document can be traced back to its rightful creator or owner and that its content remains consistent with what was originally produced. For example, a signed contract is authentic if the signatures can be verified as belonging to the parties involved and if the terms of the contract have not been modified since its execution. Authenticity is often established through cryptographic methods, such as digital signatures or hash-based identifiers, which provide a secure and immutable record of the document’s state at the time of its creation. These methods ensure that any unauthorized changes to the document can be detected, thereby preserving its trustworthiness.

[0151] Validity, on the other hand, pertains to the correctness, completeness, and compliance of a document within a specific context or framework. It is concerned with whether the document fulfills its intended purpose and adheres to applicable rules, regulations, or standards. For instance, a tax return is valid if it accurately reflects the taxpayer’s financial information and complies with the relevant tax code. Similarly, a mortgage application is valid if it includes all required documentation and meets the criteriaset forth by the lending institution. Validity is often established through a process of review or audit, where the document is evaluated against predefined criteria to ensure that it meets the necessary requirements. Unlike authenticity, which focuses on the document’s origin and integrity, validity is more dynamic and context-dependent, as it involves assessing the document’s content and its alignment with external standards.

[0152] The distinction between authenticity and validity becomes particularly important in scenarios involving complex workflows or interconnected documents. Authenticity ensures that each document within a collection can be trusted as genuine, while validity ensures that the collection as a whole meets its intended purpose. For example, in a legal case, the authenticity of individual pieces of evidence must be established to ensure they are admissible in court. However, the validity of the case itself depends on whether the evidence collectively supports the claims being made. Similarly, in a business transaction, the authenticity of contracts and invoices ensures that they are genuine, while their validity ensures that the transaction complies with regulatory requirements and fulfills its intended objectives.

[0153] Another difference between authenticity and validity lies in their implications for document management and security. Authenticity is primarily concerned with preventing tampering and forgery, making it a cornerstone of document security. It relies on mechanisms such as cryptographic signatures, watermarking, and audit trails to ensure that the document remains unaltered and traceable to its origin. Validity, however, is more focused on the content and its alignment with external criteria, making it a cornerstone of document compliance. It often involves processes such as data validation, cross-referencing, and regulatory checks to ensure that the document fulfills its intended purpose.

[0154] In practice, authenticity and validity often work in tandem to ensure the reliability and trustworthiness of documents. A document that is authentic but not valid may be genuine but incomplete or incorrect, rendering it unsuitable for its intended purpose. Conversely, a document that is valid but not authentic may meet all necessary criteria but lack the integrity required to be trusted. For example, a forged tax return may appear valid in terms of its compliance with tax regulations but fail the test of authenticity due to its fraudulent origin. Similarly, an authentic contract may lose its validity if it is missing key clauses or fails to comply with legal standards.

[0155] The interplay between authenticity and validity highlights the need for robust systems and processes that address both aspects simultaneously. Ensuring authenticity requires mechanisms for verifying the document’s origin and integrity, while ensuring validity requires mechanisms for evaluating its content and compliance. Together, these mechanisms provide a comprehensive framework for managing documents in a way that preserves their trustworthiness and utility. By understanding and addressing the differences between authenticity and validity, organizations can better navigate the complexities of document management and ensure that their workflows are both secure and effective.

[0156] Smart documents represent a transformative innovation in document management, offering unprecedented capabilities for verifying and managing validity. Validity, in this context, refers to the correctness, completeness, and compliance of a document within a specific framework or set of rules. Unlike traditional documents, which rely on external systems or manual processes for validation, smart documents embedintelligence directly within their structure, enabling them to autonomously assess and manage their validity throughout their lifecycle.

[0157] One of the foundational features of smart documents is their ability to maintain a comprehensive audit trail that records every interaction, modification, and event associated with the document. This audit trail is cryptographically secured and immutable, ensuring that the sequence of events cannot be altered retroactively. By embedding this audit trail within the document itself, smart documents provide a reliable mechanism for tracing their history and verifying their compliance with applicable standards. For example, in the context of a tax return, the audit trail can include timestamps for each modification, the identity of the individuals who made the changes, and the specific sections of the document that were altered. This level of detail ensures that the document can be reliably validated against regulatory requirements, providing assurance of its accuracy and completeness.

[0158] Smart documents also leverage embedded intelligence to dynamically assess their validity in response to user or system queries. This intelligence is achieved through the integration of executable code, metadata, and machine-readable content, which work together to create a responsive and self-aware system. When a request for validation is received, the embedded intelligence processes the request by analyzing the document’s content, audit trail, and associated metadata. For instance, a smart document containing a financial report can query external databases to confirm the accuracy of its figures, while a medical record can validate its data against regulatory standards. These capabilities ensure that the document’s content remains accurate and trustworthy, even as it is shared and distributed across different platforms and users.

[0159] Another aspect of smart documents is their ability to manage validity in the context of interconnected workflows and document collections. In many scenarios, the validity of a single document is tied to its relationship with other documents within a larger collection. For example, a mortgage application can include multiple supporting documents, such as income statements, credit reports, and property appraisals. Smart documents can autonomously manage these relationships by linking related documents and verifying their collective compliance with applicable standards. This interconnectedness allows smart documents to provide a holistic view of validity, ensuring that the entire collection meets its intended purpose.

[0160] The embedded intelligence of smart documents also enables them to adapt their behavior based on their position within a workflow or lifecycle. For instance, a contract document can display different user interfaces depending on whether it is in the negotiation phase, the execution phase, or the post-execution phase. During the negotiation phase, the document can highlight sections that require review or modification, while during the execution phase, it can focus on collecting signatures and verifying compliance with legal requirements. This dynamic adaptability ensures that the document remains valid and relevant at every stage of its lifecycle, providing users with the tools they need to manage its validity effectively.

[0161] Smart documents further enhance validity management through their ability to enforce access control and confidentiality. By embedding access instructions within the document itself, smart documents can restrict access to sensitive information based on user roles and permissions. For example, a medical record can allow a physician to view diagnostic results while restricting access to the patient’s personal information. Similarly, alegal agreement can grant different levels of access to different parties, ensuring that each user can only view the sections of the document that are relevant to their role. These access controls not only protect the integrity of the document but also ensure that its validity is maintained by preventing unauthorized modifications or disclosures.

[0162] In addition to these features, smart documents support the creation of dynamic user experiences that enhance their usability and validity. By integrating machine learning algorithms, smart documents can analyze their audit trail, content, and metadata to predict user needs or suggest actions. For instance, a smart document can identify patterns in user interactions and recommend next steps, such as flagging anomalies in the audit trail for review or suggesting additional documents that may be relevant to the current task. These predictive capabilities ensure that the document remains valid and trustworthy, even as it evolves in response to user inputs and external factors.

[0163] The ability of smart documents to verify and manage validity is further strengthened by their integration with external validation services and databases. By storing identifiers of trusted third-party validation services, smart documents can query these services to confirm the accuracy and compliance of their content. For example, a professional license document can store an identifier linked to a regulatory database, allowing it to verify that the license is active and adheres to licensing requirements. Similarly, a property deed can query a government registry to confirm its ownership history and legal status. These integrations provide an additional layer of assurance, ensuring that the document’s validity is backed by authoritative sources.

[0164] In conclusion, smart documents redefine the concept of validity by embedding intelligence, auditability, and adaptability directly within their structure. Throughtheir ability to autonomously assess and manage validity, smart documents eliminate the need for external validation systems and manual processes, providing a robust and scalable solution for modern document management. By leveraging cryptographic security, dynamic user experiences, and integration with external validation services, smart documents ensure that their content remains accurate, complete, and compliant throughout their lifecycle.

[0165] Smart documents possess the ability to autonomously validate their content, ensuring accuracy, integrity, and compliance. Below are ten examples illustrating how smart documents can validate their content in various scenarios:

[0166] Validated Identities in a Contract: A smart document containing a legal contract validates the identities of the signatories by querying a trusted identity database. Each signatory’s RSA public key is retrieved and used to verify their digital signature, ensuring that the contract was signed by the correct parties and has not been tampered with.

[0167] Medical Records with Verified Providers: A smart document representing a medical record can validates the credentials of the healthcare providers who contributed to the record. Each provider’s RSA public key is stored within the document, and the document queries a certification authority to confirm that the providers are licensed and authorized to make entries.

[0168] Financial Reports with Verified Figures: A smart document containing a financial report validates its revenue figures by querying external accounting systems. The document uses cryptographic methods to ensure that the figures match the audited records stored in the accounting database, providing assurance of their accuracy.

[0169] Event Tickets with Verified Access: A smart document representing an event ticket validates its content by cross-referencing the ticket’s metadata, such as the event dateand seating assignment, with the event organizer’s database. The document ensures that the ticket is valid, has not been duplicated, and matches the event’s seating chart.

[0170] Property Deeds with Ownership History: A smart document representing a property deed validates its ownership history by querying a government registry. The document uses cryptographic identifiers to confirm that the ownership chain is accurate and that no unauthorized modifications have been made.

[0171] Certificates of Completion with Verified Issuers: A smart document containing a certificate of completion validates its authenticity by querying the issuing institution’s database. The document uses the institution’s RSA public key to verify the cryptographic signature embedded within the certificate, ensuring that it matches the institution’s records.

[0172] Invoices with Verified Transactions: A smart document representing an invoice validates its payment status by querying payment processing systems. The document ensures that the payment has been received, the amounts match the transaction records, and the invoice has not been altered.

[0173] Tax Returns with Compliance Checks: A smart document containing a tax return validates its compliance by querying a regulatory database. The document uses cryptographic methods to ensure that the filing status, timestamps, and reported figures adhere to the relevant tax code.

[0174] Employment Agreements with Verified Terms: A smart document representing an employment agreement validates its terms by querying the employer’s HR system. The document ensures that the agreement matches the employee’s records andcomplies with labor laws, using cryptographic signatures to verify the authenticity of the terms.

[0175] Academic Transcripts with Verified Grades: A smart document containing an academic transcript validates its content by querying the issuing institution’s database. The document uses the institution’s RSA public key to verify the cryptographic signature embedded within the transcript, ensuring that the grades and course completion records are accurate.

[0176] In each of these examples, the smart document leverages cryptographic infrastructure, such as RSA public keys, to validate its content against trusted external sources. This ensures that the document remains accurate, trustworthy, and compliant throughout its lifecycle, providing a robust solution for modern document management.

[0177] Visual indicators of trustworthiness in smart documents play a pivotal role in bridging the gap between the technical integrity of a document and the human reader’s ability to assess its reliability. These indicators are designed to provide immediate, intuitive feedback about the document’s validity and authenticity, ensuring that users can trust the information presented without requiring technical expertise. By embedding visual cues directly into the document interface, smart documents empower users to identify potential issues, such as tampering, unauthorized modifications, or incomplete data, and take appropriate action.

[0178] The concept of visual trustworthiness revolves around the idea that a document should actively communicate its status to the reader. For instance, a smart document can display a green checkmark or badge to indicate that its authenticity has been verified and its content remains unaltered. Conversely, if the document fails an authenticitycheck or exhibits signs of tampering, it can display a red warning icon or a blinking alert to signal that something is amiss. These visual cues are not only essential for enhancing user confidence but also for preventing the inadvertent use of compromised or invalid documents in workflows.

[0179] One of the advantages of visual indicators is their ability to simplify complex technical processes for the human reader. For example, when a smart document undergoes an authenticity check, it can verify its cryptographic signature, provenance, and content integrity. While these processes are highly technical, the document’s interface distills the results into a simple visual representation, such as a green badge for success or a red alert for failure. This approach ensures that users can make informed decisions without needing to understand the underlying cryptographic mechanisms.

[0180] Visual indicators also serve as a safeguard against human error. In scenarios where a document’s authenticity or validity is uncertain, the interface can proactively warn the user, preventing them from relying on potentially compromised information. For instance, if a document’s signature does not match its owner’s public key, the interface can display a warning message, prompting the user to investigate further. Similarly, if a document’s metadata indicates that it has been altered since its creation, the interface can highlight the changes and provide a detailed audit trail, enabling the user to assess the impact of the modifications.

[0181] The versatility of visual indicators allows them to be tailored to different contexts and use cases. For example, in legal documents, visual cues can highlight discrepancies in signatures or missing clauses. In financial reports, they can flag inconsistencies in figures or missing audit records. In medical records, they can alert users toincomplete patient data or unauthorized access attempts. By adapting to the specific requirements of each domain, visual indicators ensure that smart documents remain relevant and effective across a wide range of applications.

[0182] To illustrate the importance of visual indicators, consider the following examples:

[0183] Event Tickets: A smart document representing an event ticket can display a green badge to indicate that the ticket is valid and has not been duplicated. If the ticket fails a validation check, the badge can turn red, alerting the user to potential fraud.

[0184] Certificates of Completion: A certificate of completion can include a visual indicator confirming that it matches the issuing institution’s records. If the certificate has been altered or forged, the interface can display a warning message.

[0185] Professional Licenses: A professional license can use visual cues to indicate its validity and expiration status. For example, a green badge can signify that the license is active, while a yellow warning icon can indicate that it is nearing expiration.

[0186] Property Deeds: A property deed can include visual indicators confirming its ownership history and legal status. If the deed has been tampered with or contains discrepancies, the interface can highlight the affected sections and provide an audit trail.

[0187] Invoices: A smart document representing an invoice can display a green badge to confirm that the payment has been received and the amounts match the transaction records. If the invoice has been altered, the badge can turn red, signaling potential fraud.

[0188] Tax Returns: A tax return can use visual indicators to confirm its compliance with regulatory requirements. If the return contains errors or missing information, the interface can display a warning message, prompting the user to review the document.

[0189] Insurance Policies: An insurance policy can include visual cues indicating its coverage details and expiration status. If the policy has been altered or is no longer active, the interface can display a red alert, warning the user of potential issues.

[0190] Scientific Research Papers: A research paper can use visual indicators to confirm its peer-review status and authorship information. If the paper has been plagiarized or contains discrepancies, the interface can highlight the affected sections and provide a detailed audit trail.

[0191] Contracts: A smart document representing a contract can display visual cues confirming its execution status and compliance with legal standards. If the contract has been altered or contains missing clauses, the interface can alert the user and provide a summary of the changes.

[0192] Academic Transcripts: An academic transcript can include visual indicators confirming its accuracy and alignment with the issuing institution’s records. If the transcript has been forged or contains errors, the interface can display a warning message, prompting the user to investigate further.

[0193] In each of these examples, visual indicators serve as a tool for enhancing trust and reliability in smart documents. By providing intuitive feedback about a document’s status, they enable users to make informed decisions and prevent the misuse of compromised or invalid information. As smart documents continue to evolve, visual indicators will remain an essential feature, ensuring that the human reader can confidently navigate the complexities of modern document management.

[0194] A smart document can possess the ability to authenticate its owner by leveraging its embedded intelligence and cryptographic infrastructure. When a user queriesthe document to display its digital signature, the document responds by providing the signature, which is a cryptographic artifact generated using the owner’s private key. The user can then verify the authenticity of the document by cross-referencing the digital signature with the owner’s public key, which is accessible through an identity system or registrar. This process ensures that the document was indeed created or signed by the purported owner, eliminating the possibility of forgery or tampering. The ability to query and verify digital signatures is a cornerstone of the document’s authenticity, providing a reliable mechanism for establishing trust in its provenance.

[0195] Authenticity in the context of smart documents refers to the assurance that the document is genuine, unaltered, and represents the current version as approved by a trusted authority, such as a registrar. The registrar acts as the arbiter of truth, maintaining an authoritative record of the document’s lifecycle and providing an API that allows users to query its status. For example, a registrar might confirm that a document is the latest version, has been approved by the appropriate parties, and has not been spoofed or tampered with. Authenticity also encompasses the integrity of the document’s content, ensuring that it matches the version provided by the owner and has not been altered during transmission or storage. By integrating with the registrar’s API, smart documents can dynamically validate their authenticity, providing users with real-time assurance of their reliability.

[0196] Validity, on the other hand, pertains to whether the document fulfills its intended purpose and complies with applicable standards or requirements. For instance, a valid tax return is one that has been properly filled out, includes all necessary attachments, and adheres to the relevant tax code. Validity is often determined by invoking algorithms that analyze the document’s content, structure, and metadata to ensure compliance. Unlikeauthenticity, which is an objective measure of the document’s integrity, validity is more subjective and context-dependent, often requiring evaluation by external systems or human reviewers. In essence, validity is in the eye of the beholder, reflecting whether the document meets the expectations and requirements of its intended audience or application.

[0197] Communicating the authenticity and validity of a smart document involves a user-friendly interface that simplifies complex technical processes. The document acts like a browser, dynamically rendering its content and metadata in response to user queries. For example, when a user requests validation, the document might display visual indicators, such as a green checkmark for authenticity or a red warning icon for discrepancies. These indicators provide immediate feedback, enabling users to assess the document’s status without needing to understand the underlying cryptographic mechanisms. By adopting familiar paradigms, such as browser-like interactions, smart documents ensure that their advanced capabilities are accessible to a broad audience.

[0198] A smart document can also address the challenge of surfacing the most recent and relevant information. For instance, when a user queries a will, the document must ensure that the version presented is the most recent and legally binding. This requires the document to maintain a dynamic connection with authoritative sources, such as registrars or identity systems, to confirm its status. By leveraging embedded intelligence and real-time validation mechanisms, the document can provide users with confidence that they are accessing the correct version, eliminating ambiguity and ensuring compliance with legal and procedural requirements.

[0199] Auditing algorithms play a role in establishing the reliability of smart documents. These algorithms analyze the document’s content, metadata, and audit trail toensure that it adheres to predefined standards and has not been tampered with. Upon successful validation, the document is awarded a seal of approval, which serves as a visual indicator of its trustworthiness. This seal can be displayed prominently within the document’s interface, providing users with immediate assurance of its integrity. By automating the auditing process, smart documents streamline compliance and reduce the risk of human error, making them invaluable in scenarios where trust and accuracy are paramount.

[0200] Trustworthiness for machines is another essential aspect of smart documents, particularly in distributed computing environments. Similar to SSL certificates used in web browsers, smart documents employ cryptographic protocols to establish secure connections and verify their authenticity. When a machine queries a document, it can validate its digital signature, provenance, and content integrity using cryptographic methods.

[0201] This ensures that the document is genuine and has not been altered during transmission, providing a reliable foundation for automated workflows and machine-to- machine interactions. By embedding trustworthiness at the machine level, smart documents enhance the security and efficiency of digital ecosystems.

[0202] The audit trail of a smart document is a comprehensive record of all interactions, modifications, and events associated with the document. This trail is cryptographically secured and immutable, ensuring that the sequence of events cannot be altered retroactively. For example, the audit trail might include timestamps for when the document was created, edited, or signed, as well as the identities of the individuals involved.

[0203] Document relationships are also captured within the audit trail, linking related documents and providing a holistic view of their lifecycle. This interconnectedness enables users to trace the provenance and validity of a document within a broader context,making the audit trail an invaluable tool for compliance, accountability, and forensic analysis. By maintaining a detailed and tamper-proof record of its history, the smart document establishes itself as a reliable and trustworthy entity in the digital landscape.

[0204] In some examples, preflight for a smart document refers to the process of verifying and preparing the document to ensure its integrity, security, and readiness for its intended use. This process involves validating the document's immutable content, checking its metadata, and confirming its compliance with operational and contextual requirements. Below are various aspects of preflight for a smart document:

[0205] 1. Validation of Immutable Content

[0206] Cryptographic Hash Verification: The preflight process recalculates the cryptographic hash of the document's immutable content (e.g., text, images, tables) and compares it to the original hash stored in the metadata. This ensures that the content has not been tampered with or altered.

[0207] Integrity Check: The system confirms that the immutable content remains unchanged since the document's finalization or authentication, preserving its trustworthiness for applications such as legal agreements or financial reports.

[0208] 2. Metadata Review

[0209] Audit Trail Verification: The preflight process reviews the metadata to ensure that all interactions, access logs, and version histories are accurately recorded. This provides a comprehensive record of the document's lifecycle.

[0210] Semantic Metadata Validation: The system checks the document's semantic metadata to confirm its classification, ownership, and type (e.g., NDA, financial report). This ensures the document is correctly categorized and ready for its intended use.

[0211] Process Metadata Analysis: The preflight process examines timestamps, user interactions, and workflow records to ensure the document's history aligns with organizational policies and regulatory requirements.

[0212] 3. Version Control

[0213] Hierarchical Structure Verification: The preflight process ensures that all versions of the document are uniquely addressable and linked to their predecessors. This allows users to trace the document's evolution and verify the context of each modification.

[0214] Consistency Check: The system confirms that the document maintains a single true copy, ensuring consistency across all accessed versions.

[0215] 4. Security and Access Control

[0216] Role-Based Access Control: The preflight process verifies that access permissions are correctly configured based on user roles and security clearances. This ensures that only authorized users can interact with the document.

[0217] Encryption Validation: The system checks that the document's encryption mechanisms are functioning correctly to protect sensitive information from unauthorized access.

[0218] Multi-Factor Authentication: The preflight process ensures that authentication protocols, such as biometric verification or cryptographic keys, are properly implemented.

[0219] 5. Operational Readiness

[0220] Dynamic Rendering: The preflight process confirms that the document can adapt its content and layout based on user interactions or external data inputs, ensuring a personalized and context-aware experience.

[0221] Workflow Integration: The system checks that the document is ready to interact with external systems, such as APIs, cloud services, or enterprise applications, to support automated workflows and collaborative features.

[0222] 6. Transparency and Trust Indicators

[0223] Audit Trail Accessibility: The preflight process ensures that users can access the document's audit trail to verify its authenticity and integrity.

[0224] Visual Indicators: The system provides visual cues, such as trustworthiness badges or encryption status, to enhance user confidence in the document's reliability.

[0225] 7. Distributed Ledger Verification

[0226] If the document leverages distributed ledger technology, the preflight process confirms that the content and its associated hash are securely recorded on the ledger. This provides an additional layer of protection and ensures consensus-based immutability.

[0227] 8. Error Detection and Resolution

[0228] The preflight process identifies any discrepancies, such as missing metadata, unauthorized modifications, or misconfigured access permissions, and resolves them before the document is deployed or shared.

[0229] By performing these preflight checks, the system ensures that the smart document is secure, reliable, and ready for its intended use, whether it involves sharing, signing, or integrating into workflows.

[0230] A smart document is designed to ensure the integrity, authenticity, and traceability of its content and associated audit trail through the use of immutability, a global marker, and embedded intelligence. This innovative structure addresses longstanding challenges in document management, auditing, and compliance.

[0231] Immutable Content

[0232] The content of a smart document is immutable, meaning it cannot be altered once finalized. This immutability is achieved through cryptographic techniques, such as hashing and digital signatures. When the document is created, its content is hashed to produce a unique cryptographic fingerprint. This hash is stored alongside the document and serves as a reference for verifying the integrity of the content. Any attempt to modify the content would result in a mismatch between the original hash and the hash of the altered content, immediately signaling tampering. Additionally, the document may be digitally signed using the creator’s private key, ensuring that the content is not only unchangeable but also verifiable as originating from the authorized source.

[0233] Immutable Audit Trail

[0234] The audit trail of a smart document is equally immutable. The audit trail records every interaction with the document, including access, modifications, approvals, signatures, and other events. Each event in the audit trail is cryptographically secured and timestamped, ensuring that the sequence of events is preserved and cannot be altered retroactively. For example, when a user accesses the document, the system generates a cryptographic record of the access event, including the user's identity, the time of access, and the nature of the interaction. These records are stored in a manner that prevents deletion or modification, ensuring the audit trail remains a reliable source of truth. The audit trail is also linked to the document's content, creating a unified record of both the document and its history.

[0235] Immutable Connection to a Permanent Global Marker

[0236] Both the immutable content and the immutable audit trail are connected to an immutable global marker, which serves as the unique and unchanging identifier for the document. The global marker can be implemented as a universally unique identifier (UUID) or a cryptographic address, such as a hash-based identifier. This marker is permanent and does not change throughout the lifecycle of the document, regardless of how or where the document is accessed. The global marker ensures that the document can always be referenced and retrieved in its original form, providing a single source of truth.

[0237] The connection between the content, audit trail, and global marker established through cryptographic linking. The global marker is embedded in the document’s metadata, and the metadata itself is cryptographically secured to prevent tampering. The audit trail is also linked to the global marker, ensuring that every recorded event is associated with the correct document. This triad—immutable content, immutable audit trail, and an immutable associated between the global marker and the content and audit trail—creates a robust framework that will revolutionize document management and control.

[0238] The immutability of the content, the audit trail, the global marker and of the link between the marker and the data (i.e., the content, the audit trail, and any other metadata) and the global marker, can have one or more of a variety of characteristics:

[0239] Unchangeable: Immutable refers to something that cannot be altered, modified, or edited once it has been created or finalized.

[0240] Permanent: Immutable signifies a state of permanence, where the object or data remains fixed and consistent over time.

[0241] Irreversible: Immutable describes a condition where changes are impossible, and any attempt to alter the object or data is invalid or rejected.

[0242] Fixed: Immutable means that the structure, content, or state of an object is locked and cannot be adjusted or updated.

[0243] Tamper-Proof: Immutable implies that the object or data is resistant to tampering, ensuring its integrity and authenticity.

[0244] Finalized: Immutable refers to an object or data that has reached its final form and cannot be reverted or reshaped.

[0245] Unmodifiable: Immutable describes a characteristic where the object or data is impervious to modification, whether intentional or accidental.

[0246] Consistent: Immutable ensures that the object or data remains consistent and reliable, unaffected by external influences or changes.

[0247] Secure: Immutable denotes a state of security where the object or data is safeguarded against unauthorized alterations or corruption.

[0248] Indelible: Immutable refers to something that is permanent and cannot be erased, overwritten, or replaced.

[0249] Benefits of the Immutable Structure

[0250] Integrity: The immutability of the content ensures that the document remains unchanged and trustworthy throughout its lifecycle.

[0251] Traceability: The immutable audit trail provides a complete and verifiable history of all interactions with the document.

[0252] Authenticity: The permanent global marker guarantees that the document can always be uniquely identified and retrieved, eliminating ambiguity.

[0253] Compliance: This structure simplifies regulatory compliance by providing a reliable and tamper-proof record of the document and its history.

[0254] Interoperability: The global marker enables seamless integration with external systems, ensuring that the document can be referenced and verified across different platforms.

[0255] In summary, a smart document achieves immutability of its content and audit trail while ensuring both are immutably connected to a permanent global marker. This design provides a transformative solution for document management, offering unparalleled integrity, authenticity, and traceability.

[0256] While in some examples of smart documents the content, the audit trail, and the link to the global marker are all immutable, in other examples one of or two of these three items may be immutable. In some examples, the entirety of the content and the audit trail are immutable, and in others only a portion of the content and / or the audit trail are immutable. Furthermore, a smart document may have content and an audit trail that are immutable while having other metadata that is changeable (e.g., comments, access rights, etc.)

[0257] In addition to the foundational features of immutability, smart documents possess embedded intelligence that enables them to actively interact with their environment, respond to requests, and perform actions autonomously. This intelligence transforms the document from a static repository of information into a dynamic, interactive entity capable of understanding and adapting to its context. Embedded intelligence in smart documents is achieved through the integration of executable code, metadata, and machine-readable content, all of which work together to create a responsive and self-aware system.

[0258] Features of Embedded Intelligence

[0259] Self-Determination and Responsiveness: Smart documents are equipped with the ability to process requests and respond dynamically. For example, when a user or system queries a document, the embedded intelligence allows the document to access its metadata, audit trail, and content to determine the appropriate response. This responsiveness is not limited to simple data retrieval; the document can also perform complex operations, such as verifying its authenticity, providing access logs, or extracting specific information from its content.

[0260] Contextual Awareness: Smart documents can understand and adapt to their context. This includes recognizing the identity of the user accessing the document, the device being used, the location of the access, and the stage of the document's lifecycle. For instance, a contract document may display different user interfaces depending on whether it is being accessed by the creator, a signatory, or a reviewer. Similarly, the document can adapt its behavior based on whether it is being accessed on a mobile device, desktop, or tablet.

[0261] Negotiation of Communication Protocols: Smart documents are capable of negotiating the manner in which they communicate with external systems. They can respond to requests using various protocols, such as RESTful APIs, gRPC, or even machine-specific languages like MCP (Machine Communication Protocol). This flexibility ensures that the document can seamlessly integrate with diverse systems and applications, making it highly interoperable.

[0262] Dynamic User Experience: The embedded intelligence enables smart documents to create personalized user experiences. For example, the document can present different panels, workflows, or visualizations depending on the user's role, the document'slifecycle stage, or the specific task being performed. This dynamic adaptability enhances usability and ensures that the document serves the needs of each stakeholder effectively.

[0263] Machine Learning and Predictive Capabilities: Smart documents can leverage machine learning algorithms to analyze their audit trail, content, and metadata to predict user needs or suggest actions. For instance, a smart document could identify patterns in user interactions and recommend next steps, such as suggesting additional documents that may be relevant to the current task or flagging anomalies in the audit trail for review.

[0264] How Intelligence is Embedded

[0265] The intelligence of smart documents is embedded through the integration of one or more components:

[0266] Executable Code: At the core of a smart document's intelligence is its embedded executable code. This code acts as the "brain" of the document, enabling it to process requests, perform actions, and interact with external systems. The code is designed to be lightweight and modular, allowing it to execute specific tasks efficiently without compromising the document's performance.

[0267] Metadata: Metadata provides the document with contextual information about itself, such as its creation date, owner, version history, and access permissions. This metadata is stored in a machine-readable format and is cryptographically secured to ensure its integrity. The document's intelligence uses this metadata to make decisions and respond to queries.

[0268] Machine-Readable Content: Unlike traditional documents, which are primarily human-readable, smart documents store their content in a machine-readableformat. This allows the embedded intelligence to analyze the content, extract specific information, and perform operations based on the content's structure and meaning.

[0269] APIs for Interaction: Smart documents expose APIs (Application Programming Interfaces) that allow external systems to interact with them. These APIs enable the document to receive requests, process them, and return responses in a structured format, such as JSON or XML. The APIs also facilitate integration with other applications and systems, making the document highly interoperable.

[0270] Cryptographic Infrastructure: The intelligence of smart documents is underpinned by cryptographic infrastructure, which ensures the security and authenticity of the document's interactions. For example, digital signatures and hash-based identifiers are used to verify the integrity of the document and its audit trail, while encryption protects sensitive data.

[0271] Machine Learning Models: Machine learning models can be embedded within the document or accessed through external systems to enhance its intelligence. These models enable the document to analyze patterns, predict outcomes, and adapt its behavior based on historical data and real-time inputs.

[0272] Examples of Embedded Intelligence in Action

[0273] Audit Trail Analysis: A smart document can analyze its audit trail to identify unusual patterns, such as repeated failed access attempts, and alert the owner to potential security risks.

[0274] Dynamic Rendering: When accessed on a mobile device, a smart document can automatically adjust its layout to optimize readability and usability, while providing additional features like touch-based navigation.

[0275] Workflow Management: A smart document associated with a workflow can track its progress and notify stakeholders of pending actions, such as signatures or approvals.

[0276] Content Extraction: A smart document can respond to a query by extracting specific information from its content, such as the total amount in an invoice or the number of items listed in a receipt.

[0277] Protocol Negotiation: A smart document can negotiate the format of its responses based on the preferences of the requesting system, such as providing data in JSON for web applications or XML for enterprise systems.

[0278] In summary, the embedded intelligence of smart documents is achieved through the integration of executable code, metadata, machine-readable content, APIs, cryptographic infrastructure, and machine learning models. This intelligence enables the document to interact dynamically with its environment, adapt to its context, and provide personalized experiences, making it a transformative innovation in document management.

[0279] The combination of immutability and embedded intelligence in smart documents creates a transformative paradigm for document management, offering unparalleled integrity, authenticity, traceability, and adaptability. Together, these features address longstanding challenges in document security, compliance, and usability, while enabling dynamic interactions and personalized experiences.

[0280] The Synergy of Immutability and Embedded Intelligence

[0281] The combination of immutability and embedded intelligence creates a powerful synergy that revolutionizes document management. Immutability provides the foundation of trust, ensuring that the document’s content and history are secure, authentic, and tamper-proof. Embedded intelligence builds on this foundation, enabling the documentto interact dynamically with its environment, adapt to its context, and provide personalized experiences.

[0282] Enhanced Integrity and Authenticity: Immutability ensures that the document’s content and audit trail remain unchanged, while embedded intelligence enables the document to verify its authenticity and respond to queries about its provenance. Together, these features create a system where trust is inherent and verifiable.

[0283] Dynamic Traceability: The immutable audit trail provides a complete history of interactions with the document, while embedded intelligence allows the document to analyze and interpret this history. This dynamic traceability enables stakeholders to understand not only what happened to the document but also why and how.

[0284] Personalized Compliance: Immutability simplifies regulatory compliance by providing a reliable and tamper-proof record of the document and its history. Embedded intelligence enhances this by adapting the document’s behavior to meet specific compliance requirements, such as displaying relevant panels or workflows based on the user’s role or jurisdiction.

[0285] Interoperability and Adaptability: The permanent global marker ensures seamless integration with external systems, while embedded intelligence enables the document to negotiate communication protocols and adapt its responses to different platforms. This combination ensures that the document can function effectively in diverse environments.

[0286] Predictive Security and Usability: Immutability protects the document from tampering, while embedded intelligence leverages machine learning to predict potentialsecurity risks and suggest preventive actions. This proactive approach enhances both security and usability, ensuring that the document serves the needs of its stakeholders effectively.

[0287] Real-World Applications

[0288] The synergy of immutability and embedded intelligence has transformative implications across industries:

[0289] Legal and Compliance: Smart contracts can ensure the integrity of agreements while dynamically adapting to regulatory changes.

[0290] Finance: Immutable audit trails and intelligent analysis can enhance fraud detection and streamline reporting.

[0291] Healthcare: Patient records can remain secure and authentic while providing personalized access to authorized stakeholders.

[0292] Supply Chain: Immutable tracking and intelligent analysis can optimize logistics and ensure product authenticity.

[0293] In summary, the combination of immutability and embedded intelligence in smart documents creates a revolutionary framework for document management. By ensuring integrity, authenticity, and traceability while enabling dynamic interactions and personalized experiences, this synergy addresses longstanding challenges and unlocks new possibilities for innovation and efficiency.

[0294] Alternative Terminology

[0295] The term “smart document” or “smart electronic document” can also be referred to as a self-determinative document, a self-tracking document, a self-assimilating document, a document with executable code, a document with embedded code, and / or in a variety of other ways depending on the context and on the features of the smart document.In any example, a smart electronic includes three elements, at minimum—data (e.g., content, audit trail, other metadata, etc.), executable code (e.g., an API), and a globally unique marker.

[0296] Embodiments of this disclosure provide a technical solution to the technical problem of ensuring the authenticity and integrity of electronic documents in distributed computing environments, where documents are shared across networks and accessed by multiple devices. Traditional methods of document authentication rely on external systems, such as centralized servers or third-party validation services, which introduce inefficiencies, increase network traffic, and create potential points of failure. Some embodiments address these issues by embedding executable code directly within the electronic document itself, enabling the document to autonomously track its authenticity, respond to validation requests, and provide real-time verification of its content. This embedded functionality reduces the reliance on external systems, thereby improving the efficiency of computer hardware and networking.

[0297] By enabling the document to execute authentication processes locally, some embodiments minimize the need for repeated queries to external servers, reducing network latency and bandwidth consumption. For example, when a user requests validation of a document’s authenticity, the embedded code can process the request and generate a response without requiring the document to be sent to a remote server for verification. This localized processing reduces the computational load on networked systems and ensures faster response times, enhancing the overall performance of the computing devices involved. Additionally, the embedded code leverages the physical processor and memory of the device accessing the document, optimizing the use of hardware resources and enabling efficient execution of authentication tasks.

[0298] Various embodiments may improve the security of distributed systems by eliminating the need to transmit sensitive document data across networks for validation purposes. Instead, the document itself contains the necessary instructions and metadata to verify its authenticity, reducing the risk of interception or tampering during transmission. This approach enhances the integrity of the document and ensures that authentication processes are conducted securely within the local computing environment. Furthermore, the ability of the document to autonomously manage its authenticity reduces the dependency on centralized servers, making the system more resilient to outages or attacks on network infrastructure.

[0299] In addition to improving hardware and networking efficiency, various embodiments enable scalable document management in distributed environments. By embedding authentication capabilities within the document, the invention allows multiple devices to independently validate the document’s content without overloading network resources or requiring synchronization with a central server. This scalability is particularly valuable in scenarios involving large-scale document sharing, such as collaborative workflows, regulatory compliance, or cloud-based storage systems. Overall, the systems and methods described herein may represent a significant advancement in document authentication technology, providing a robust and efficient solution that enhances the functionality of computer hardware and networking systems.

[0300] In conclusion, the detailed description provided herein illustrates the innovative systems, methods, and components that enable electronic documents to function as self-authenticating digital objects. By embedding executable instructions directly within the document, the invention addresses challenges related to authenticity, provenance, anddata accuracy, while eliminating reliance on external validation systems. The described embodiments demonstrate how self-authenticating documents leverage embedded intelligence, cryptographic security, and dynamic validation mechanisms to ensure trustworthiness and reliability throughout their lifecycle. Furthermore, the invention enhances the efficiency of computer hardware and networking systems by reducing bandwidth consumption, minimizing latency, and optimizing local processing capabilities. These advancements make the invention particularly valuable in industries such as legal, healthcare, finance, and government, where the integrity and security of electronic documents are paramount. While specific embodiments and examples have been described, the scope of the invention is not limited to these particular implementations. Instead, the invention encompasses all modifications, equivalents, and alternatives that fall within the spirit and scope of the appended claims.

[0301] As detailed above, the computing devices and systems described and / or illustrated herein broadly represent any type or form of computing device or system capable of executing computer-readable instructions, such as those contained within the modules described herein. In their most basic configuration, these computing device(s) may each include at least one memory device and at least one physical processor.

[0302] In some examples, the term “memory device” generally refers to any type or form of volatile or non-volatile storage device or medium capable of storing data and / or computer-readable instructions. In one example, a memory device may store, load, and / or maintain one or more of the modules described herein. Examples of memory devices include, without limitation, Random Access Memory (RAM), Read Only Memory (ROM), flash memory,Hard Disk Drives (HDDs), Solid-State Drives (SSDs), optical disk drives, caches, variations or combinations of one or more of the same, or any other suitable storage memory.

[0303] In some examples, the term “physical processor” generally refers to any type or form of hardware-implemented processing unit capable of interpreting and / or executing computer-readable instructions. In one example, a physical processor may access and / or modify one or more modules stored in the above-described memory device. Examples of physical processors include, without limitation, microprocessors, microcontrollers, Central Processing Units (CPUs), Field-Programmable Gate Arrays (FPGAs) that implement softcore processors, Application-Specific Integrated Circuits (ASICs), portions of one or more of the same, variations or combinations of one or more of the same, or any other suitable physical processor.

[0304] Although illustrated as separate elements, the modules described and / or illustrated herein may represent portions of a single module or application. In addition, in certain embodiments one or more of these modules may represent one or more software applications or programs that, when executed by a computing device, may cause the computing device to perform one or more tasks. For example, one or more of the modules described and / or illustrated herein may represent modules stored and configured to run on one or more of the computing devices or systems described and / or illustrated herein. One or more of these modules may also represent all or portions of one or more special-purpose computers configured to perform one or more tasks.

[0305] In addition, one or more of the modules described herein may transform data, physical devices, and / or representations of physical devices from one form to another. Additionally or alternatively, one or more of the modules recited herein may transform aprocessor, volatile memory, non-volatile memory, and / or any other portion of a physical computing device from one form to another by executing on the computing device, storing data on the computing device, and / or otherwise interacting with the computing device.

[0306] In some embodiments, the term “computer-readable medium” generally refers to any form of device, carrier, or medium capable of storing or carrying computer- readable instructions. Examples of computer-readable media include, without limitation, transmission-type media, such as carrier waves, and non-transitory-type media, such as magnetic-storage media (e.g., hard disk drives, tape drives, and floppy disks), optical-storage media (e.g., Compact Disks (CDs), Digital Video Disks (DVDs), and BLU-RAY disks), electronic- storage media (e.g., solid-state drives and flash media), and other distribution systems.

[0307] Clause 1. A method comprising: tracking, by an electronic document, authenticity of content of the electronic document; receiving, at the electronic document, a request to validate the authenticity of the content of the electronic document; and providing, by executing code of the electronic document, a response that validates the authenticity of content of the electronic document.

[0308] Clause 2. The method of clause 1, wherein tracking authenticity of the content of the electronic document comprises maintaining, by the electronic document, provenance of the electronic document.

[0309] Clause 3. The method of clause 1, wherein: tracking the authenticity of the content of the electronic document comprises storing an identifier of a third-party validation service; providing the response comprises: using the identifier to query the third-party validation service; and receiving, from the third-party validation service, information authenticating the content of the electronic document.

[0310] Clause 4. The method of clause 1, wherein the content of the electronic document comprises a ticket to an event.

[0311] Clause 5. The method of clause 1, wherein the content of the electronic document comprises a certification or license of a user.

[0312] Clause 6. The method of clause 1, wherein the content of the electronic document comprises a title or deed.

[0313] Clause 7. The method of clause 1, wherein the content of the electronic document comprises a legal agreement.

[0314] Clause 8. A system comprising: at least one physical processor; physical memory comprising computer-executable instructions that, when executed by the physical processor, cause the physical processor to: track, by an electronic document, authenticity of content of the electronic document; receive, at the electronic document, a request to validate the authenticity of the content of the electronic document; and provide, by executing code of the electronic document, a response that validates the authenticity of content of the electronic document.

[0315] Clause 9. The system of clause 8, wherein the computer-executable instructions cause the physical processor to track authenticity of the content of the electronic document by maintaining, by the electronic document, provenance of the electronic document.

[0316] Clause 10. The system of clause 8, wherein: the computer-executable instructions cause the physical processor to track the authenticity of the content of the electronic document by storing an identifier of a third-party validation service; the computer- executable instructions cause the physical processor to provide the response by: using theidentifier to query the third-party validation service; and receiving, from the third-party validation service, information authenticating the content of the electronic document.

[0317] Clause 11. The system of clause 8, wherein the content of the electronic document comprises a ticket to an event.

[0318] Clause 12. The system of clause 8, wherein the content of the electronic document comprises a certification or license of a user.

[0319] Clause 13. The system of clause 8, wherein the content of the electronic document comprises a title or deed.

[0320] Clause 14. The system of clause 8, wherein the content of the electronic document comprises a legal agreement.

[0321] Clause 15. A non-transitory computer-readable medium comprising computer-executable instructions that, when executed by at least one of one or more processors of a computing device, cause the computing device to: track, by an electronic document, authenticity of content of the electronic document; receive, at the electronic document, a request to validate the authenticity of the content of the electronic document; and provide, by executing code of the electronic document, a response that validates the authenticity of content of the electronic document.

[0322] Clause 16. The non-transitory computer-readable medium of clause 15, wherein the computer-executable instructions cause the physical processor to track authenticity of the content of the electronic document by maintaining, by the electronic document, provenance of the electronic document.

[0323] Clause 17. The non-transitory computer-readable medium of clause 15, wherein: the computer-executable instructions cause the physical processor to track theauthenticity of the content of the electronic document by storing an identifier of a third-party validation service; the computer-executable instructions cause the physical processor to provide the response by: using the identifier to query the third-party validation service; and receiving, from the third-party validation service, information authenticating the content of the electronic document.

[0324] Clause 18. The non-transitory computer-readable medium of clause 15, wherein the content of the electronic document comprises a ticket to an event.

[0325] Clause 19. The non-transitory computer-readable medium of clause 15, wherein the content of the electronic document comprises a certification or license of a user.

[0326] Clause 20. The non-transitory computer-readable medium of clause 15, wherein the content of the electronic document comprises a title or deed.

[0327] The features and clauses discussed herein may provide one or more of the advantages and / or solutions described, such as enhancing security, improving operational efficiency, or enabling dynamic access control. Additionally, these features and clauses may offer further or alternative benefits or address further or alternative challenges beyond those explicitly mentioned. The disclosed features and clauses are not limited to the specific advantages or solutions described and may be implemented in various ways to achieve additional or alternative benefits and / or solutions.

[0328] The process parameters and sequence of the steps described and / or illustrated herein are given by way of example only and can be varied as desired. For example, while the steps illustrated and / or described herein may be shown or discussed in a particular order, these steps do not necessarily need to be performed in the order illustrated or discussed. The various exemplary methods described and / or illustrated herein may also omitone or more of the steps described or illustrated herein or include additional steps in addition to those disclosed.

[0329] The preceding description has been provided to enable others skilled in the art to best utilize various aspects of the exemplary embodiments disclosed herein. This exemplary description is not intended to be exhaustive or to be limited to any precise form disclosed. Many modifications and variations are possible without departing from the spirit and scope of the present disclosure. The embodiments disclosed herein should be considered in all respects illustrative and not restrictive. Reference should be made to the appended claims and their equivalents in determining the scope of the present disclosure.

[0330] Unless otherwise noted, the terms “connected to” and “coupled to” (and their derivatives), as used in the specification and claims, are to be construed as permitting both direct and indirect (i.e., via other elements or components) connection. In addition, the terms “a” or “an,” as used in the specification and claims, are to be construed as meaning “at least one of.” Finally, for ease of use, the terms “including” and “having” (and their derivatives), as used in the specification and claims, are interchangeable with and have the same meaning as the word “comprising.”

Claims

AMENDED CLAIMS received by the International Bureau on 20 Oct 2025(20.10.2025)1. A method comprising: tracking, by an electronic document, at least one of authenticity or validity of at least a portion of data of the electronic document; receiving, at the electronic document, a request to validate at least one of the authenticity or validity of the portion of the data of the electronic document; and providing, by executing code of the electronic document, a response that confirms at least one of the authenticity or the validity of the portion of the data of the electronic document.

2. The method of claim 1, wherein tracking authenticity of the portion of the data of the electronic document comprises maintaining, by the electronic document, provenance of the electronic document.

3. The method of claim 1, wherein: tracking the authenticity of the portion of the data of the electronic document comprises storing an identifier of a third-party validation service; providing the response comprises: using the identifier to query the third-party validation service; and receiving, from the third-party validation service, information authenticating the portion of the data of the electronic document.

4. The method of claim 1, wherein the portion of the data of the electronic document comprises a ticket to an event.

5. The method of claim 1, wherein the portion of the data of the electronic document comprises a certification or license of a user.

6. The method of claim 1, wherein the portion of the data of the electronic document comprises a title or deed.

7. The method of claim 1, wherein the portion of the data of the electronic document comprises a legal agreement.

8. The method of claim 1, wherein the electronic document comprises a permanent, immutable global marker that provides unique identification and traceability of the electronic document.

9. The method of claim 1, wherein the electronic document comprises embedded executable code that performs the tracking, receiving, and providing steps and that enables the document to autonomously monitor, record, and manage events associated with access to and interactions with the electronic document.

10. The method of claim 1, wherein the electronic document is configured to confirm the authenticity of its content by recalculating a cryptographic hash and comparing the cryptographic hash to an original hash stored in metadata of the electronic document.

11. The method of claim 1, wherein the electronic document maintains an immutable audit trail of interactions and events associated with the electronic document and stores the immutable audit trail within the electronic document.

12. The method of claim 1, wherein the electronic document is configured to provide a visual indicator of trustworthiness.

13. The method of claim 1, wherein confirming the validity of the portion of the electronic document comprises determining whether the electronic document adheres to at least one of a rule, regulation, or standard.

14. The method of claim 1, wherein the electronic document comprises an artificial intelligence application programming interface configured to support artificial intelligence agents in at least one of querying, analyzing, or interacting with the electronic document in a structured manner.

15. A system comprising: at least one physical processor; physical memory comprising computer-executable instructions that, when executed by the physical processor, cause the physical processor to: track, by an electronic document, authenticity of at least a portion of data of the electronic document;receive, at the electronic document, a request to validate the authenticity of the portion of the data of the electronic document; and provide, by executing code of the electronic document, a response that validates the authenticity of at least a portion of the data of the electronic document.

16. The system of claim 15, wherein the computer-executable instructions cause the physical processor to track authenticity of the portion of the data of the electronic document by maintaining, by the electronic document, provenance of the electronic document.

17. The system of claim 15, wherein: the computer-executable instructions cause the physical processor to track the authenticity of the portion of the data of the electronic document by storing an identifier of a third-party validation service; the computer-executable instructions cause the physical processor to provide the response by: using the identifier to query the third-party validation service; and receiving, from the third-party validation service, information authenticating the portion of the data of the electronic document.

18. The system of claim 15, wherein the portion of the data of the electronic document comprises a ticket to an event.

19. The system of claim 15, wherein the portion of the data of the electronic document comprises a certification or license of a user.

20. The system of claim 15, wherein the portion of the data of the electronic document comprises a title or deed.

21. The system of claim 15, wherein the portion of the data of the electronic document comprises a legal agreement.

22. A non-transitory computer-readable medium comprising computerexecutable instructions that, when executed by a physical processor of a computing device, cause the computing device to: track, by an electronic document, authenticity of at least a portion of data of the electronic document; receive, at the electronic document, a request to validate the authenticity of the portion of the data of the electronic document; and provide, by executing code of the electronic document, a response that validates the authenticity of at least a portion of the data of the electronic document.

23. The non-transitory computer-readable medium of claim 22, wherein the computer-executable instructions cause the physical processor to track authenticity of the portion of the data of the electronic document by maintaining, by the electronic document, provenance of the electronic document.

24. The non-transitory computer-readable medium of claim 22, wherein: the computer-executable instructions cause the physical processor to track the authenticity of the portion of the data of the electronic document by storing an identifier of a third-party validation service; the computer-executable instructions cause the physical processor to provide the response by: using the identifier to query the third-party validation service; and receiving, from the third-party validation service, information authenticating the portion of the data of the electronic document.

25. The non-transitory computer-readable medium of claim 22, wherein the portion of the data of the electronic document comprises a ticket to an event.

26. The non-transitory computer-readable medium of claim 22, wherein the portion of the data of the electronic document comprises a certification or license of a user.'Ll. The non-transitory computer-readable medium of claim 22, wherein the portion of the data of the electronic document comprises a title or deed.ConclusionApplicant expressly disclaims all arguments, representations, and / or amendments presented or contained in any other patent or patent application, including any patents or patent applications claimed for priority purposes by the present application or any patents or patent applications that claim priority to this patent application. Moreover, all arguments, representations, and / or amendments presented or contained in the present patent application are only applicable to the present patent application and should not be considered when evaluating any other patent or patent application.Respectfully submitted,Dated: 10 / 20 / 25 / Bryan Hanks / Bryan HanksRegistration No. 52,991AMENDED CLAIMS STATEMENT UNDER ARTICLE 19(1)Applicant submits that, since support for the proposed Article 19 amendments contained herein can be found variously throughout the specification and original claims, these amendments do not exceed the scope of the original application or otherwise impact the description or drawings.

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