AI Deal Room Platform for Secure Document Management
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Solution Overview
Problem
Existing due diligence processes in document-intensive activities are resource-intensive, prone to document manipulation, and lack adequate logging and trust mechanisms, leading to inefficiencies and potential risks due to parties concealing or altering documents.
Innovation Solution
A deal room platform utilizing cognitive processes, including machine learning and blockchain, to classify and organize documents, predict risks, and manage permissions securely, with an immutable audit trail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual document review processes are used in due diligence, then human experts can identify and analyze documents, but the process becomes resource-intensive, time-consuming, and expensive
Solution Approach 1:
The patent replaces manual mechanical document review processes with an automated electronic system that uses machine learning and artificial intelligence to classify, organize, and analyze documents. The system automatically processes documents through cognitive algorithms rather than human experts, dramatically improving efficiency while maintaining or enhancing identification accuracy through consistent automated classification.
Solution Approach 2:
The system enables self-service document management by automatically classifying and organizing documents without requiring human intervention for each document. The machine learning model autonomously processes uploaded documents, assigns them to appropriate folders, and updates the organizational structure, allowing the system to serve itself in document classification tasks.
2Ease of operation
If documents are manually managed during due diligence, then parties can exchange documents, but the process becomes vulnerable to document manipulation and lacks adequate auditing mechanisms
Solution Approach 1:
The patent introduces a cryptographic ledger (blockchain) as an intermediary that mediates all document exchanges and activities during due diligence. This intermediary maintains an immutable audit trail of all document uploads, modifications, and access events, ensuring document integrity and providing reliable verification without interfering with the ease of document exchange between parties.
Solution Approach 2:
The system creates cryptographic copies and hash representations of documents and activities that are stored on the immutable ledger. These cryptographic copies serve as verified replicas that can be audited without altering the original documents, maintaining document integrity while enabling comprehensive auditing of all document lifecycle events.
3Measurement precision
If extensive document review is conducted to ensure completeness, then all relevant documents can be identified, but the due diligence period extends over months causing deal dynamics to change
Solution Approach 1:
The patent implements continuous automated document classification and organization throughout the due diligence process. The machine learning system continuously processes uploaded documents in real-time, maintaining an up-to-date organizational structure without interruption. This continuous automated action ensures document completeness is maintained while significantly reducing the time required compared to manual batch processing.
Solution Approach 2:
The system performs preliminary automated classification and organization of documents as they are uploaded, before human review is needed. By pre-processing and organizing documents into the appropriate folder structure automatically, the system reduces the time required for subsequent manual review and ensures documents are ready for analysis immediately, compressing the overall due diligence timeline.
Data Source
AI summary
In embodiments, a method for managing documents in an electronic deal room associated with a document-intensive activity, the method comprising: receiving, by a processing system of a deal room platform, a request to upload a document to the electronic deal room from a user device associated with a user participating in the deal; receiving, by the processing system, the document from a document source; determining, by the processing system, a classification of the document based on one or more features of the document and a machine-learned document classification model that is trained to classify documents involved in document-intensive activities; identifying, by the processing system, one or more folders of an organizational structure having a plurality of folders corresponding to the electronic deal room based on the classification; and associating, by the processing system, the document with the one or more folders.