Consumer legal-AI skills in 🇮🇳 India

2 legal AI skills for consumer in India.

Compensation Quantifier

MITIndiaConsumer

Builds a compensation or damages claim head by head, using only the figures actually supplied, showing the arithmetic and flagging any head that is claimed without a supporting figure. Use this whenever a user wants a claim quantified rather than assessed on the merits — including phrasings like "work out what we can claim for this defective product", "quantify the compensation head by head", "add up the loss including refund, replacement cost and mental agony", "build the damages claim from these receipts", or "what does this claim total if we include litigation costs". This is a quantification tool, not a merits assessment — it does not decide whether the underlying claim succeeds; pair it with deficiency-analyst or product-liability-analyst for that. Fires for any compensation or damages claim, consumer or otherwise, wherever loss needs to be built up head by head from supplied figures.

Deficiency Analyst

MITIndiaConsumer

Tests whether given facts actually satisfy the legal threshold for deficiency in service, defect in goods, or unfair trade practice, working element by element rather than asserting a conclusion. Use this whenever a user wants to know if a set of facts clears that threshold — including phrasings like "does this actually count as deficiency in service", "is this an unfair trade practice or just a bad experience", "test whether we have a viable consumer complaint here", "what's our exposure if a customer alleges deficiency", or "walk through whether these facts meet the test". Can run for either side — testing whether a consumer has a claim, or whether an opposite party has exposure — ask which. Distinct from consumer-pleading-drafter, which states the allegation as instructed; this tests whether it actually holds up. Fires wherever the deficiency, defect, or unfair-trade-practice threshold is the question, in any jurisdiction with a consumer protection regime.