diff --git a/CURRENT_PRIORITIES.md b/CURRENT_PRIORITIES.md index be145ee..c38add6 100644 --- a/CURRENT_PRIORITIES.md +++ b/CURRENT_PRIORITIES.md @@ -1,4 +1,4 @@ -# 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. \ No newline at end of file +### 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 \ No newline at end of file