AI Principles
Core principles and values guiding our legal AI development
When applying artificial intelligence to the legal field, we steadfastly uphold the following principles to ensure technology serves people, rather than replacing professional judgment.
Professional Precision
Legal work demands absolute accuracy. Our AI models are trained on professional legal corpora, with outputs rigorously validated to ensure accuracy and professionalism.
- Trained on authoritative legal documents and case law
- Multi-layer quality review and validation mechanisms
- Continuous iteration to improve accuracy rates
- Clear confidence indicators to support human judgment
Explainable & Transparent
Every AI recommendation should be traceable. We strive to make AI reasoning processes traceable and explainable, helping users understand the 'why'.
- Clear display of AI analysis basis and reasoning paths
- Citation of relevant statutes, precedents, and best practices
- Multi-perspective analysis rather than single conclusions
- Support for users to trace and verify AI outputs
Clear Boundaries
AI is an assistant to legal professionals, not a replacement. We clearly define AI capabilities and consistently emphasize the irreplaceable value of human professional judgment.
- AI provides suggestions, humans make decisions
- Complex issues prompt seeking professional legal advice
- No final legal opinions or determinations provided
- Cultivating proper AI usage habits among users
Privacy First
Client data security is our bottom line. All data processing follows the strictest privacy protection standards and is never used for model training.
- End-to-end encryption for data transmission
- Client data isolated storage, no cross-client usage
- Strict data retention and deletion policies
- Regular security audits and penetration testing
Fair & Unbiased
Equality before the law applies to AI as well. We continuously monitor and eliminate algorithmic bias to ensure service fairness.
- Diverse training data to reduce bias sources
- Regular bias audits and model calibration
- Established bias reporting and correction mechanisms
- Ensuring equitable service across different groups
Continuous Evolution
The legal landscape constantly changes, and AI must keep pace. We continuously track legal developments to ensure AI knowledge remains current.
- Real-time tracking of law and regulation updates
- Regular knowledge base and model updates
- Collecting user feedback for continuous improvement
- Close collaboration with legal experts for iteration