@durvashah449950

Legal teams, insurance claims adjusters, and law firms spend countless hours manually reading through dense case files, FIRs, and legal notices to extract basic facts. Connecting timelines across dozens of documents and identifying missing evidence is a slow, error-prone process. LegalOS solves this with a zero-touch AI command center. Simply upload raw legal documents, and the system automatically extracts entities, builds a chronological timeline, cross-references claims for inconsistencies, detects risk levels, and generates actionable intelligence. It completely replaces manual discovery with instantaneous insight. Key Features: Zero-Touch Case Creation: Upload a PDF and the system automatically categorizes it and builds a case workspace. Cross-Document Intelligence: AI correlates facts across multiple files to detect contradictions (e.g., mismatching claim amounts). Evidence Gap Detection: Automatically flags missing required documents based on the case type. Automated Risk Signals: Evaluates textual severity to assign automated risk scores to cases. LegalOS is powered by the gemma2-9b-it model running on Fireworks AI’s AMD Instinct™ MI300X serverless infrastructure. This provides the massive context window and rapid inference speed required to process complex legal documents in seconds, creating a seamless experience for end-users.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.