Sheeghra nyaya
त्वरित न्याय, मजबूत नैतिकता
The problem Sheeghra nyaya solves
Indian judiciary is burdened with pendency of cases, tardy judicial proceedings, and lack of accessibility because of technical legal language and manual procedures. Sheeghra Nyaaya resolves such pressing issues through Generative AI and blockchain by making legal processes efficient.
Key Issues & Our Solutions:
Backlog & Delay of Cases – Courts are afflicted with heavy loads of cases and ineffective case prioritization.
Solution: Our AI-enabled Digital Case Management (DCM) system facilitates automation of case tracking, scheduling, and cross-verifies case prioritization with LLMs, ensuring equitable and efficient processing.
Legal Complexity & Accessibility Issues* – Legal documents are hard to comprehend, particularly for non-professionals and regional language speakers.
Solution:* AI-driven multilingual translation and summarization make legal documents easy to comprehend and accessible in several Indian languages.
Time-Consuming Legal Research – Lawyers waste hours scouring for pertinent case precedents and judgments.
Solution: Our Intelligent Legal Research feature fetches previous cases and judgments through AI-driven search and summarization.
Lack of Secure Digital Infrastructure* – Court papers are vulnerable to mismanagement, loss, or unauthorized access.
Solution:* Hyperledger Fabric-based blockchain-secured document access guarantees tamper-proof, confidential storage and sharing of legal documents.
Heavy Manual Drafting Reliance* – Lawyers waste too much time creating affidavits, NDAs, and contracts.
Solution:* Legal templates generated by AI offer pre-drafted, editable documents, minimizing manual work.
By incorporating AI, Sheeghra Nyaaya hastens legal procedures, enhances access, and achieves a more efficient and transparent justice system.
Challenges we ran into
Challenges We Encountered
During the construction of Sheeghra Nyaaya, we encountered some of the following challenges:
Processing Complex Legal Terminology in AI Models
Challenge: Legal files involve compact, specialized terminology that renders it challenging for typical LLMs to correctly summarize or translate them.
Solution: We optimized our LLM with domain-specific datasets of legal documents and utilized prompt engineering to provide improved accuracy in summarization and translation.
Cross-Verifying Case Prioritization in DCM
Challenge: Creating an LLM-based case prioritization system involved striking a balance between various factors such as case type, urgency, and previous precedents.
Solution: We developed a weighted scoring model that utilizes inputs from historical data and lawyer suggestions to ensure a just and effective prioritization system.
AI Chatbot's Legal Accuracy
Challenge: The chatbot first gave vague or generic legal suggestions that were not case-specific in nature.
Solution: We combined retrieval-augmented generation (RAG) to retrieve actual case laws and precedents, rendering answers more accurate and legally sound./
Making Secure and Scalable Blockchain Integration Possible
Challenge: Maintaining safe access to documents released by the court without affecting efficiency was the challenge.
Solution: We deployed Hyperledger Fabric with hashed document access and query speed optimization for secure yet effortless retrieval of documents.
Through these challenges, we perfected our AI-powered legal automation system to become a more stable and efficient solution.
Tracks Applied (2)
Gen AI
Major League Hacking
MongoDB Atlas
Major League Hacking