Updates

docs/models/entity-recognition.md

@@ -5,8 +5,8 @@ Entity recognition is a crucial component of the DataHive network, enabling the
 ### Key Concepts
 
 1. **Entity Types**
-   - **Legal Entities**: Identifying organizations, individuals, and governmental bodies.
-   - **Terms and Concepts**: Recognizing specific legal terms, statutes, and case references.
+   - **[Legal Entities](/docs/models/legal-entities.md)**: Identifying organizations, individuals, and governmental bodies.
+   - **[Terms and Concepts](/docs/models/terms-and-concepts.md)**: Recognizing specific legal terms, statutes, and case references.
 
 2. **Process Flow**
 
@@ -18,15 +18,15 @@ graph TD;
     D --> E[Output Structured Data];
 ```
 
-- **Data Input**: Raw legal documents are fed into the system.
-- **Preprocessing**: Text is cleaned and prepared for analysis.
-- **Entity Detection**: Algorithms identify potential entities within the text.
-- **Classification**: Entities are categorized into predefined types.
-- **Output Structured Data**: Results are formatted for integration into the knowledge graph.
+- **[Data Input](/docs/infrastructure/data-input.md)**: Raw legal documents are fed into the system.
+- **[Preprocessing](/docs/infrastructure/preprocessing.md)**: Text is cleaned and prepared for analysis.
+- **[Entity Detection](/docs/models/entity-detection.md)**: Algorithms identify potential entities within the text.
+- **[Classification](/docs/models/classification.md)**: Entities are categorized into predefined types.
+- **[Output Structured Data](/docs/models/output-structured-data.md)**: Results are formatted for integration into the knowledge graph.
 
 3. **Tools and Techniques**
-   - **Natural Language Processing (NLP)**: Utilizes advanced NLP models to parse and understand complex legal language.
-   - **Machine Learning Algorithms**: Employs supervised learning to improve entity recognition accuracy over time.
+   - **[Natural Language Processing (NLP)](/docs/models/nlp-techniques.md)**: Utilizes advanced NLP models to parse and understand complex legal language.
+   - **[Machine Learning Algorithms](/docs/models/machine-learning-algorithms.md)**: Employs supervised learning to improve entity recognition accuracy over time.
 
 4. **Integration with Knowledge Graphs**
    - Enhances the dynamic mapping of legal concepts by providing structured data inputs.

docs/nodes/integration.md

@@ -0,0 +1,52 @@
+## Node Integration
+
+Node integration within the DataHive network is crucial for ensuring seamless communication, efficient data processing, and robust network functionality. This guide provides developers with all the necessary resources and information to understand and implement node integration.
+
+### Key Components
+
+1. **Communication Protocols**
+   - **[Inter-Node Messaging](/docs/infrastructure/inter-node-messaging.md)**: Utilize standardized messaging protocols to facilitate efficient data exchange between nodes.
+   - **[Synchronization](/docs/infrastructure/synchronization.md)**: Ensure all nodes are updated with the latest data and network state for consistent operations.
+
+2. **Data Sharing**
+   - **[Distributed Ledger](/docs/blockchain/distributed-ledger.md)**: Implement blockchain technology to maintain a secure, immutable record of transactions and data exchanges.
+   - **[Data Replication](/docs/infrastructure/data-replication.md)**: Ensure consistency by replicating critical information across nodes.
+
+3. **Task Coordination**
+   - **[Load Balancing](/docs/infrastructure/load-balancing.md)**: Distribute tasks evenly to prevent overload and optimize performance.
+   - **[Task Scheduling](/docs/smart-contracts/task-scheduling.md)**: Use smart contracts to automate task allocation based on node capacity.
+
+4. **Scalability**
+   - **[Dynamic Node Addition](/docs/infrastructure/dynamic-node-addition.md)**: Support seamless addition of new nodes to expand network capacity.
+   - **[Resource Management](/docs/infrastructure/resource-management.md)**: Monitor resource usage to optimize performance and scalability.
+
+### Integration Process
+
+```mermaid
+sequenceDiagram
+    participant A as New Node
+    participant B as Existing Nodes
+    participant C as Blockchain
+    A->>B: Request to Join Network
+    B->>C: Verify Node Credentials
+    C-->>B: Confirmation
+    B-->>A: Approval to Join
+    A->>C: Register on Blockchain
+    C-->>A: Registration Complete
+```
+
+- **Request to Join**: New nodes initiate a request to join the network.
+- **Verification**: Existing nodes verify credentials using the blockchain.
+- **Approval and Registration**: Upon approval, new nodes are registered on the blockchain.
+
+### Tools and Resources
+
+- **API Documentation**: Access detailed API documentation in the `/docs/api` folder for integration specifics.
+- **Smart Contracts**: Review smart contract templates in the `/docs/smart-contracts` folder for task automation.
+- **Security Guidelines**: Follow security best practices outlined in the `/docs/security` folder.
+
+### Benefits
+
+- **Enhanced Collaboration**: Facilitates efficient collaboration between nodes, improving overall network functionality.
+- **Robust Security**: Blockchain integration ensures secure and transparent operations.
+- **Improved Efficiency**: Optimized task coordination and load balancing enhance network performance.

docs/technical/ARCHITECTURE.md

@@ -1,5 +1,4 @@
-# LN1: Building Our Network's Legal Intelligence
-
+# DataHive's Legal Intelligence
 
 <div align="center">
 
@@ -90,7 +89,7 @@ class ProcessingPipeline:
         self.indexer = DocumentIndexer()
         self.validator = ContentValidator()
         self.curator = DataCurator()
-        
+
     async def process_document(self, document):
         indexed = await self.indexer.process(document)
         validated = await self.validator.validate(indexed)
@@ -136,11 +135,11 @@ We've implemented state-of-the-art security measures:
 contract AccessControl {
     mapping(address => Role) public roles;
     mapping(bytes32 => mapping(Role => bool)) public permissions;
-    
-    function hasPermission(address user, bytes32 resource) 
-        public 
-        view 
-        returns (bool) 
+
+    function hasPermission(address user, bytes32 resource)
+        public
+        view
+        returns (bool)
     {
         return permissions[resource][roles[user]];
     }
@@ -154,4 +153,4 @@ LN1 is continuously evolving with exciting developments on the horizon:
 - **AI Integration**: Advanced document analysis and pattern recognition
 - **Cross-chain Operations**: Expanded blockchain network support
 - **Enhanced Analytics**: Deep insights into legal document trends
-- **Global Scale**: Increased processing capacity and reach
+- **Global Scale**: Increased processing capacity and reach

docs/technical/DEVELOPMENT.md

@@ -0,0 +1,55 @@
+## Development Guide
+
+This guide provides a comprehensive overview of the development process within the DataHive network, detailing best practices and essential tools for developers.
+
+### Development Environment Setup
+
+1. **Prerequisites**
+   - Ensure you have the latest versions of Node.js and Python installed.
+   - Install Docker for containerized application management.
+
+2. **Repository Cloning**
+   - Clone the DataHive repository from GitHub using:
+     ```bash
+     git clone https://github.com/your-repo/datahive.git
+     ```
+
+3. **Environment Configuration**
+   - Copy the example environment file and configure necessary variables:
+     ```bash
+     cp .env.example .env
+     ```
+
+### Development Workflow
+
+1. **Branching Strategy**
+   - Use GitFlow for managing branches:
+     - **Main**: Stable production-ready code.
+     - **Develop**: Integration branch for features.
+     - **Feature**: Individual branches for new features or fixes.
+
+2. **Coding Standards**
+   - Follow the coding guidelines outlined in `/docs/guidelines/coding.md`.
+   - Use ESLint and Prettier for JavaScript code formatting.
+
+3. **Testing**
+   - Write unit tests using Jest for JavaScript components.
+   - Use PyTest for testing Python modules.
+
+4. **Continuous Integration**
+   - Set up CI/CD pipelines using GitHub Actions:
+     - Automate testing and deployment processes.
+     - Ensure code passes all checks before merging.
+
+### Tools and Resources
+
+- **IDE Setup**: Recommended IDEs include Visual Studio Code and PyCharm.
+- **Documentation**: Access API documentation in the `/docs/api` folder.
+- **Security Guidelines**: Follow security best practices outlined in `/docs/security`.
+
+### Best Practices
+
+- **Code Reviews**: Conduct thorough code reviews to maintain quality.
+- **Version Control**: Commit changes frequently with clear messages.
+- **Collaboration**: Use GitHub Issues and Projects for task management.
+

docs/technical/LEGAL_DATA_SYSTEM.md

@@ -1,6 +1,5 @@
 # Legal Data System - LN1 Technical Specifications
 
-## Overview
 The LN1 Legal Data System implements automated collection, processing, and curation of legal documents through a distributed node network. This document outlines the technical specifications and core components of the system.
 
 ## System Architecture
@@ -158,4 +157,4 @@ For contribution guidelines, see [CONTRIBUTING.md](/CONTRIBUTING.md).
 - [Installation Guide](/docs/deployment/installation.md)
 - [Troubleshooting Guide](/docs/guides/troubleshooting.md)
 - [API Documentation](/docs/api/rest-api.md)
-- [Security Audit](/docs/security/audits.md)
+- [Security Audit](/docs/security/audits.md)

docs/technical/NODE_OPERATIONS.md

@@ -1,6 +1,5 @@
 # Node Operations - LN1 Technical Specifications
 
-## Overview
 This document provides detailed technical specifications for LN1 Legalese Node operations, focusing on node responsibilities, coordination mechanisms, and performance requirements.
 
 ## Node Architecture
@@ -173,4 +172,4 @@ This document provides detailed technical specifications for LN1 Legalese Node o
 - System reliability
 - Service availability
 - Error handling
-- Recovery time
+- Recovery time

docs/technical/storage-spec.md

@@ -0,0 +1,54 @@
+## Storage Specifications
+
+This document outlines the storage specifications for the DataHive network, detailing the architecture, technologies, and best practices for managing data efficiently and securely.
+
+### Storage Architecture
+
+1. **Distributed Storage**
+   - **[Decentralized Network](/docs/infrastructure/decentralized-network.md)**: Utilize a distributed ledger to ensure data redundancy and availability across nodes.
+   - **[Data Sharding](/docs/infrastructure/data-sharding.md)**: Implement sharding techniques to divide data into smaller, manageable pieces for efficient storage and retrieval.
+
+2. **Data Types**
+   - **[Structured Data](/docs/storage/structured-data.md)**: Store structured data in relational databases for fast query performance.
+   - **[Unstructured Data](/docs/storage/unstructured-data.md)**: Use NoSQL databases for unstructured data like documents and logs.
+
+### Technologies Used
+
+1. **0G Storage Integration**
+   - Leverage 0G's dual-lane system for high-throughput data management.
+   - Use erasure coding for redundancy and sharding for parallel processing.
+
+2. **[IPFS (InterPlanetary File System)](/docs/storage/ipfs.md)**
+   - Employ IPFS for decentralized file storage, enhancing data availability and fault tolerance by distributing data across multiple nodes.
+
+3. **[Blockchain Integration](/docs/blockchain/integration.md)**
+   - Maintain an immutable record of transactions and data changes using blockchain technology.
+   - Automate data validation and access control through smart contracts.
+
+### Best Practices
+
+1. **Data Security**
+   - Encrypt sensitive data both at rest and in transit to protect against unauthorized access.
+   - Regularly audit storage systems to ensure compliance with security standards.
+
+2. **Scalability**
+   - Design storage solutions that can scale horizontally by adding more nodes as needed.
+   - Optimize database queries and indexing to improve performance as data volume grows.
+
+3. **Redundancy and Backup**
+   - Implement redundancy through 0G's erasure coding to minimize the chance of data loss.
+   - Develop a disaster recovery plan using both on-site and off-site backups to quickly restore operations in case of failures.
+
+### Leveraging Partnerships
+
+- Collaborate with 0G to utilize their robust storage infrastructure, ensuring resilient systems through redundancy and backup storage architecture.
+- Integrate public open-source file storage resources like IPFS to enhance data resilience and accessibility.
+
+### Testnet Integration
+
+- **Testnet1 on OP Sepolia**: Launched with AltLayer's facilitation, this testnet enhances our integration with 0G AIOS, providing a scalable infrastructure for decentralized applications.
+- For more information, visit [DataHive Launches Testnet1](https://www.datahive.network/post/datahive-launches-testnet1-on-op-sepolia-facilitated-by-altlayer-advancing-integration-with-0g-aios).
+
+### Conclusion
+
+The DataHive network's storage specifications are designed to provide a robust, secure, and scalable infrastructure for managing legal data. By leveraging advanced technologies like 0G Storage and IPFS, along with strategic partnerships, DataHive ensures efficient data management while maintaining high standards of security and availability.

docs/updates/REALTIME.md

@@ -0,0 +1,50 @@
+## Real-Time Updates
+
+The real-time updates feature in the DataHive network ensures that all nodes and components are consistently synchronized with the latest data and changes. This capability is crucial for maintaining the accuracy and reliability of the network's legal intelligence services.
+
+### Key Features
+
+1. **Live Data Streaming**
+   - **Continuous Data Flow**: Implement a continuous data streaming mechanism to ensure that updates are propagated in real-time across all nodes.
+   - **Event-Driven Architecture**: Utilize an event-driven model to trigger updates as soon as new data is available.
+
+2. **Synchronization Protocols**
+   - **Distributed Consensus**: Employ consensus algorithms to ensure that all nodes agree on the current state of the network.
+   - **Conflict Resolution**: Implement mechanisms to resolve conflicts that may arise from simultaneous updates.
+
+3. **Scalability**
+   - **Dynamic Resource Allocation**: Adjust resource allocation dynamically to handle varying loads and ensure smooth operation.
+   - **Node Scalability**: Support seamless integration of additional nodes to accommodate growing data volumes.
+
+4. **Security Measures**
+   - **Data Integrity Checks**: Use cryptographic techniques to verify the integrity of data being updated across the network.
+   - **Access Controls**: Implement strict access controls to manage who can initiate updates and view real-time data.
+
+### Implementation Process
+
+```mermaid
+sequenceDiagram
+    participant A as Data Source
+    participant B as Update Processor
+    participant C as Network Nodes
+    A->>B: Send New Data
+    B->>C: Broadcast Update
+    C-->>B: Acknowledge Receipt
+    B-->>A: Confirm Update Completion
+```
+
+- **Data Source**: Initiates the update by sending new data.
+- **Update Processor**: Handles the processing and broadcasting of updates.
+- **Network Nodes**: Receive and apply updates, acknowledging receipt.
+
+### Tools and Resources
+
+- **API Endpoints**: Access API documentation in the `/docs/api` folder for details on real-time update integration.
+- **Security Guidelines**: Follow best practices outlined in the `/docs/security` folder to secure real-time data flows.
+
+### Benefits
+
+- **Timely Information**: Ensures that all nodes have access to the most current data, enhancing decision-making capabilities.
+- **Improved Reliability**: Maintains consistency across the network, reducing errors and discrepancies.
+- **Enhanced Performance**: Optimizes resource use through efficient update propagation, improving overall network performance.
+