derek soltis@dj27697

Legislation is one of the least accessible documents in modern society. U.S. bills span thousands of pages of dense legalese with cross-references that fan out across the U.S. Code. Manually reviewing a 3,000-page bill takes teams of analysts weeks. Important policy decisions disappear inside documents almost no one has time to read. Nota.Lawyer Bill Analyzer turns any U.S. bill PDF into a structured analysis and an AI-generated podcast video, with the political tone and depth dialled to listener preference. Pipeline 1 chunks the bill on TITLE / Subtitle / DIVISION boundaries (200K cl100k tokens per chunk), runs six specialist agents over each chunk (summarizer, USC cross-referencer, pork finder, conflict spotter, podcast-headline generator, headline ranker), and aggregates a canonical report. Pipeline 2 takes the winning headline, generates 19 dialog lines, 19 slide prompts, and 19 motion prompts via Qwen3-30B, renders 19 still slides via Qwen-Image-2512 (gated by a dual-call OCR + judgment critic, up to 15 retries), animates them with Wan 2.2 i2v + LightX2V, narrates via Qwen3-TTS-12Hz-1.7B custom Alex/Jordan voices, lipsyncs talking-head pairs via InfiniteTalk on the same Wan base, and composes three masters - slides-only, all-talking-head, and an alternating hybrid (default). All four Qwen models plus Wan 2.2 stay resident in VRAM the whole run (~150 GB of 192 GB). vLLM Automatic Prefix Caching on ROCm 7.2.3 means the 10 specialist agents share a single prefill of the bill - measured 94.15x APC TTFT speedup on a 99,727-token prefix, 14.8x wall-clock speedup on the 232K-token summarizer, 68.5% sustained APC hit rate. The Build Back Better Act (HR 5376), 2,468 pages and 927,292 cl100k tokens, took 28 minutes cold to a 3-minute hybrid podcast on one MI300X. Open-source, MI300X-native, reproducible end-to-end. Live demo and source linked below.

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