Adalat AI
Framer-built civic-tech site: stats-led hero, impact page, 37-role careers hub
Adalat AI is an Indian justice-technology nonprofit building courtroom transcription, case workflow and record digitisation for state judiciaries, and its site is indexed here as a UI reference rather than as a product you install. It is a Framer site with an unusually complete information architecture for a mission-driven org: a stats-heavy home page, /products, /impact, /about-us, /recognition, a full /security disclosure page (data residency, client-side encryption, no third-party API calls), an engineering blog with real ASR write-ups, and a /careers hub with 37 open roles across engineering, ML, legal and per-state project management. The /whatsapp-helpline page is a separate product landing built around a Claude-powered case-status bot.
Pull this up when you are laying out a mission-driven or public-sector product site and need a structure that is not the usual SaaS hero-features-pricing template — the pattern here is problem statistics first, then impact numbers, then judge testimonials, then partners, with pricing replaced by a donate/partner call to action. The /security page is the most reusable piece: it is a clean template for a trust page (data residency, encryption, compliance, FAQ) that most B2G and enterprise products need and few do well. Do not try to scrape the rendered DOM — it is a Framer client-rendered site; fetch https://framerusercontent.com/sites/1cuDXVuo1TZuhckGptAiuq/searchIndex-itSpqjiiKHRa.json instead, which returns every page's title and heading tree as JSON.
Why it is here. A rare, well-structured example of civic-tech and nonprofit information architecture — trust page, impact page and a 37-role careers hub — in an index otherwise dominated by SaaS marketing sites.
- Framer site with 50 indexed pages
- dedicated security and data-residency page
- stat-led problem framing on the hero
- 37-role careers hub
- engineering blog on Indic ASR
Verified 2026-08-15. HTTP 200. https://www.adalat.ai (WebFetch + raw HTML), https://framerusercontent.com/sites/1cuDXVuo1TZuhckGptAiuq/searchIndex-itSpqjiiKHRa.json (full page and heading index for all 50 pages)
