Legaily - AI Legal Solutions and Secure Blockchain

Vercel
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Created by team Hackstreet Hustlers on October 20, 2024

Legaily is an innovative app built to streamline legal workflows for lawyers and judges by solving key challenges in documentation, translation, and case management. In India, where legal documents are often drafted in various regional languages, translations can be costly and time-consuming. Legaily’s Document AI feature provides accurate, AI-powered translations between English and local languages using chunking techniques, reducing reliance on expensive translators. The app also offers a Summarize Document feature, utilizing NLP to condense lengthy legal documents without missing crucial details. Lawyers can quickly assess whether to take on a case, speeding up client consultations. The Simplify Language tool converts complex legal jargon, often recorded by stenographers, into more understandable language, making legal documents accessible to all lawyers. Legaily’s Document Search feature, powered by NLP, helps lawyers find relevant case precedents by understanding user intent. It reduces the hassle of searching through countless legal archives for favorable judgments, especially for critical cases. The app's Query Page is a chatbot trained to give personalized legal advice, including potential charges, rights, and next steps in a case. Judge View leverages blockchain via Hyperledger Fabric to securely share judge-signed documents. Lawyers receive a unique hashcode to access these documents digitally, removing the need for physical court visits. With additional tools like Document Drafting Templates and the Advocate Diary to manage cases, Legaily enhances productivity and organization, providing lawyers with a comprehensive solution for modern legal practice.

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"Creative application, but not a mobile app"

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Shebagi Mitra

Technical Mentor

"Addressing Indian lawyers pain points through translation, document processing and blockchain-based authentication sounds good though its broad feature set might benefit from more focus on core functionalities. Also the presentation was too long "

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Theodoros Ampas

Technical Mentor