NyayaShastra
“法律情報をより分かりやすく、身近に”
NyayaShastraは難解な法令文書を市民向けに平易で正確な言葉に翻訳するAIシステムです。データ保持ゼロでプライバシーを守ります。
開発の背景
難解な法律用語や手続きの複雑さにより、一般市民が権利を行使する際の金銭的・心理的負担が大きい課題を解決します。
セキュリティとデータ方針
- No storage or profiling of user legal queries or personal identities.
- Statute lookups and knowledge retrieval run in ephemeral, isolated runtime environments.
- Strict data sanitization before external API processing.
主要機能とアーキテクチャ
Plain Language Statute Translation
Deconstructs complex legal sections into straightforward English and regional translations without losing legal precision.
Actionable Citizen Rights Blueprint
Provides step-by-step guidance on dispute escalation paths, required documentation, and official complaint filing protocols.
Precedent & Section Cross-Referencing
Surfaces relevant case precedents, official statutory amendments, and constitutional provisions in context.
Zero-Data Retention Inquiries
Engineered with client-side query sanitization to guarantee user confidentiality when researching sensitive legal situations.
仕組み
Enter Legal Query or Statute
Type an everyday legal question (e.g., rental dispute, defective product warranty) or search a specific section code.
AI Analysis & Statute Retrieval
The engine indexes official gazettes and statutory acts to synthesize applicable laws and precedents.
Review Actionable Next Steps
Receive a structured breakdown covering legal protections, timelines, and formal redressal mechanisms.
開発と検証の記録
課題
Legal information in India is trapped in thousands of pages of convoluted PDFs, complex colonial-era nomenclature, and opaque court transcripts. Citizens lack direct, fast ways to understand their fundamental rights in daily disputes.
仮説とアイデア
Pennion hypothesized that applying structured LLM summarization with strict legal citation anchors could deliver democratized legal clarity without giving risky ungrounded advice.
実装プロセス
Built an end-to-end legal intelligence platform with Next.js, hybrid semantic retrieval, verified statutory corpora, and bilingual query understanding.
Statutes Indexed
Query Resolution
Language Clarity Score