@mayahi77886

Under-resourced legal teams spend 4-12 hours per matter reading hundreds of pages of contracts to produce a single review memo. Existing AI tools chunk documents through RAG, meaning the model never sees the whole picture — a clause on page 12 that contradicts a definition on page 187 gets missed. Counsel-in-a-Box solves this by loading the entire deal package into one context window on an AMD Instinct MI300X. Five specialist agents — Clause Extractor, Risk Scorer, Obligation Tracker, Cross-Reference Auditor, and Memo Drafter — read the same full corpus and produce a coordinated, cite-checked legal memorandum. The system found real issues in SEC EDGAR M&A filings: a $22M termination fee discrepancy between sections 60 pages apart, conflicting definitions across documents, and missing exhibits — findings that RAG-based approaches structurally cannot detect. Key results: 89 tokens/sec on Qwen3-32B via vLLM on ROCm 7, 62% GPU utilization (121 GB of 192 GB), and $1.99/hr on AMD Developer Cloud vs $8.20/hr for 2x H100. The MI300X's 192 GB HBM3 enables full-context multi-agent inference without quantization, chunking, or multi-GPU overhead — an architecture that is impossible on 80 GB GPUs.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.