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Legal access · product · shipped

Legally Lite

A legal education platform that turns housing, employment, and consumer rights into state-specific challenges and mini-games.

Role

Product thinking, legal content structure, prototyping

Result

Runner-up · Legal Quants x Manus AI Hackathon

Stack

React · TypeScript · Supabase · Tailwind

Live

legallylite-pj8tfmoj.manus.space

Why this exists

Most people meet the law when something has already gone wrong. The product question was simple: can legal education feel less like a wall of text and more like practice for a real decision?

Legally Lite explored legal access through small interactive scenarios. Instead of asking users to read everything first, it lets them learn by answering, failing safely, and seeing how rights change by state.

0 → 1 product thinking

Start with a narrow legal moment, then make the learning loop repeatable.

0

People do not wake up wanting “legal education.” They want to know what they can do when rent, work, debt, or a consumer issue becomes stressful.

1

The first wedge was a tenant-rights quiz for Washington law: specific enough to be useful, small enough to ship, and structured enough to expand into other rights areas.

Loop

Quizzes, XP, badges, leaderboards, and AI help were not decoration. They were the engagement loop: learn a rule, test yourself, ask a follow-up, come back.

Win

The hackathon result gave the product a useful outside check: the prototype was judged on creativity, pain-point relevance, working demo, and production readiness.

Product bet

People remember rules better when the rule is attached to a situation.

Problem

Legal information is often technically public but practically hard to use. People need plain language, state specificity, and enough context to know what applies to them.

Approach

Break legal knowledge into challenge-based flows: rights, choices, consequences, and next steps. Keep the interaction lightweight enough for someone who is not looking for a law school lecture.

What it shows

I can turn domain complexity into a product surface, especially when legal accuracy, usability, and user anxiety all matter at once.