Update CURRENT_PRIORITIES.md

CURRENT_PRIORITIES.md

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-# Current Priorities for LN1 Legalese Node Development
+# Current Development Priorities for LN1 Legalese Node
 
 This document outlines the current development priorities for the LN1 Legalese Node project. It serves as a guide for our internal teams (NodeOps and P10) as well as prospective contractors.
 
@@ -8,56 +8,72 @@ This document outlines the current development priorities for the LN1 Legalese N
 2. Blockchain Integration
 3. Performance Optimization
 
-### 1. Legal Data Indexing and Curation System
+## 1. Legal Data Indexing and Curation System
 
-Our main priority is to accelerate the development of a robust indexing and curation system for legal data. This includes:
+Our main priority for LN1 is establishing the foundational infrastructure for web-based legal data indexing and curation. This includes:
 
-- Implementing advanced data scraping and extraction mechanisms for diverse legal sources
-- Developing and refining NLP and machine learning algorithms for efficient data categorization
-- Creating and maintaining a comprehensive Legal Data Dictionary and Taxonomy
-- Ensuring data validation and compliance checks
+- Implementing efficient web scraping for:
+  - Cookie policies
+  - Privacy policies
+  - Terms of service
+  - Legal notices
+  - Website compliance documents
+- Building extensible data structures that support future NLP integration (LN2-LN5)
+- Creating base schemas for Legal Data Dictionary and Taxonomy
+- Implementing basic validation and compliance checks
 
-#### Key Tasks:
-- Enhance the data collection pipeline to handle a wider range of legal document formats
-- Improve the accuracy of the NLP models for legal text analysis
-- Develop a user-friendly interface for manual curation and validation of edge cases
+### Key Tasks:
+- Build robust web scraping infrastructure
+- Develop modular architecture for future extensibility
+- Create flexible storage schemas
+- Implement basic text processing functionality
+- Design APIs that support future NLP integration
 
-### 2. Blockchain Integration
+## 2. Blockchain Integration
 
 We aim to seamlessly integrate the indexing and curation system with our blockchain infrastructure:
 
-- Designing and implementing smart contracts for data management and access control
-- Ensuring compatibility with the existing DataHive network architecture
-- Optimizing data storage and retrieval mechanisms on the blockchain
-
-#### Key Tasks:
-- Develop and test smart contracts for data integrity and access management
-- Implement efficient on-chain and off-chain data storage solutions
-- Create a robust API for interaction between the indexing system and blockchain components
-
-### 3. Performance Optimization
-
-As we scale our operations, optimizing performance is crucial:
-
-- Improving the efficiency of data processing algorithms
-- Enhancing system scalability to handle increasing volumes of legal data
-- Optimizing resource utilization across the node network
-
-#### Key Tasks:
-- Conduct performance profiling of existing systems to identify bottlenecks
-- Implement caching mechanisms to reduce redundant processing
-- Develop load balancing strategies for distributed data processing
-
-## Collaboration Guidelines
-
-- All development work should be coordinated through our GitHub repository
-- Regular code reviews and team meetings will be conducted to ensure alignment
-- Contributors are expected to follow our coding standards and documentation practices
-
-## Next Steps
-
-1. Review the technical specifications and architecture documents
-2. Familiarize yourself with the existing codebase and development workflows
-3. Engage with the team to discuss specific task assignments and timelines
----
-#### We're excited to work with talented individuals to push the boundaries of decentralized legal intelligence. Your contributions will play a crucial role in shaping the future of the DataHive ecosystem.
+### Storage Strategy
+- Implementing 0G (Zero-Knowledge Proofs and Governance) as primary storage
+- Designing modular storage interfaces for future integrations (IPFS, etc.)
+- Optimizing data structures for efficient 0G integration
+
+### Key Tasks:
+- Develop and test smart contracts for data integrity
+- Implement efficient on-chain and off-chain storage solutions
+- Create robust APIs for blockchain component interaction
+- Design flexible storage interfaces for future platform integration
+
+## 3. Performance Optimization
+
+Performance is our primary focus for LN1, taking precedence over advanced security features (which will be addressed in LN2):
+
+### Key Performance Areas:
+- Web scraping efficiency
+- Data processing speed
+- Storage read/write operations
+- Query response times
+- System resource utilization
+
+### Performance Metrics:
+- Scraping throughput
+- Processing latency
+- Storage operation speed
+- API response times
+- Resource usage statistics
+
+## Open Source Commitment
+
+We prioritize free and open-source resources across our stack:
+- Open-source web scraping libraries
+- Free API alternatives where possible
+- Community-driven development tools
+- Open-source storage solutions
+
+## Note on Future Development
+
+While LN1 focuses on core infrastructure and performance, future versions (LN2-LN5) will address:
+- Advanced NLP capabilities
+- Enhanced security features
+- Additional storage integrations
+- Advanced ML/AI features