LAVERTY – Infinity AI Technology Labs

LAVERTY Case Reader turns a scanned Arabic court file into a bilingual case summary a lawyer can trust. The problem: in the UAE, court papers reach lawyers as scanned Arabic documents covered in stamps, signatures and handwritten notes. A next hearing date may exist only in a clerk's handwriting, a printed amount may be crossed out and corrected by hand, and a claim may cite an article the law doesn't have. A lawyer must read every page before any legal work starts, and one missed note can cost a deadline. What we built during this hackathon (a new feature for LAVERTY, our Arabic-English legal AI for UAE lawyers): 1. SAM 3.1 finds every stamp and signature on every page. 2. Muse Spark 1.3 reads all pages together, plus a close-up of every mark, and returns a fixed structure in Arabic and English: court, parties, dates, deadlines, claims, key facts and citations, each linked to its page. A fact known only from handwriting or a stamp says so; a handwritten correction is shown with both values. 3. Handwriting gets a second look: Muse Spark finds the notes SAM 3.1 misses and places each one again from a close-up. 4. Every cited article is checked against the official UAE law text: right law, article exists, quoted wording matches word for word. Anything it can't verify is labelled "not checked", never passed. 5. The summary opens with "Check these first"; on the demo page, clicking any date, citation or mark opens the page it came from and highlights it. How we tested it: 13 fictional scanned case files (33 pages) with a hand-checked answer key and traps planted on purpose. Real run on Meta's models (run 6): 6/6 citations of non-existent articles caught, the changed quote caught, 80/80 citation verdicts right, 35/35 claim amounts, 65/67 parties, 125/131 dates, 98/109 stamps, signatures and handwritten notes in the right place. Full scores and every miss are in the repository. Demo page: https://infinity-ai-labs.github.io/laverty-case-reader/