Case study · Legal technology
CourtGPT
Legal guidance first, then the right lawyer.
- Product
- CourtGPT
- Service
- Design and development
- Sector
- Legal technology
- Built by
- Wow Labz
At a glance
What it compresses
Lawyer selection normally runs on referrals over weeks. CourtGPT matches in a single guided session.
Concepts explained in terms the user already has, rather than translated into terms they do not.
Built to keep pace with changes in law rather than freeze at a training cut-off.
Recommendations tied to the specific legal matter, not a directory sorted by proximity.
The brief
Knowing you need a lawyer is not the same as finding one
Two separate walls sit between a person and legal help. The first is comprehension: the vocabulary is unfamiliar, and the explanations available assume you already know which question to ask.
The second is selection. Even after someone understands their matter, choosing counsel runs on personal referrals — asking around, waiting for someone to know someone, comparing names with no basis for comparison. That process takes weeks, and most of the delay is unnecessary.
Understanding the problem and finding the right person are two different failures. Solving one leaves you stuck at the other.
How it works
Understand, then choose
Ask
The user brings a legal matter in plain language, without needing the correct terminology to start.
Explain
Concepts are explained and questions answered in terms the user can follow, against law that is kept current.
Define the need
What emerges is a specific legal need rather than a general sense that something is wrong.
Match
Suitable lawyers are recommended against that need, compressing weeks of referral hunting into the same session.
The build
Two capabilities that have to sit together
The recommendation is only as good as the understanding that precedes it. A matching engine fed a vague description returns a vague shortlist, which is exactly what a directory already does. Doing the explanation properly first is what makes the second half work.
Keeping pace with changes in law is the harder engineering commitment here. A general assistant answers from whenever its knowledge stopped, and in a legal context stale guidance is worse than none — it is confidently wrong about something consequential.
The measurable claim is the compression: a selection process that usually takes weeks of referrals, done in one guided session against the specific need.
Stack
What it was built with
Questions
CourtGPT, answered
What is CourtGPT?
A virtual assistant that helps people navigate legal matters in plain language. It explains concepts, answers questions, keeps pace with changes in law, and then recommends suitable lawyers matched to the specific legal need.
How does it help with finding a lawyer?
It recommends suitable lawyers matched to the specific need that emerges from the conversation, compressing a selection process that usually takes weeks of referrals into a single guided session.
How does it stay current?
It is built to keep pace with changes in law rather than answer from a fixed knowledge cut-off, which matters because stale legal guidance is worse than none.
How does it relate to Brihaspati?
They cover different halves of the same journey. Brihaspati handles consultation and generates the paperwork a situation requires. CourtGPT handles understanding the law and routing to the right counsel.
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