Architecture Diagram
Meet with Live AI Agent
Onboarding before meet room
viewing case files
home page
Meet page with the inline queries for starategy prep

Real-Time AI Courtroom Simulation

We built a real-time courtroom simulation system that helps lawyers, law students, and paralegals stress-test legal strategy under realistic courtroom pressure.

The platform simulates a live adversarial court environment where users argue a case against an AI opposing counsel that can interrupt, challenge arguments, and reference case law in real time, just like in an actual courtroom.

How It Works

Live AI Opposing Counsel powered by ElevenLabs voice agents engages users in spoken argument
An independent speech-to-text pipeline captures transcripts in real time
Case files are ingested via AWS Lambda, chunked, embedded, and stored for retrieval
Databricks Unity Catalog + Delta Tables serve as the backbone for scalable, governed RAG storage
Vector-based precedent retrieval pulls relevant case law from indexed case chunks during arguments
A Claude-powered AI Judge evaluates arguments based on historical rulings and judicial behavior modeling
Real-time document reference indexing ensures all arguments are grounded in actual case materials

Step-by-Step Flow

1. Case File Upload

Users upload all case-related documents (briefs, exhibits, prior rulings, transcripts).
Files are ingested, chunked, embedded, and indexed to create a grounded legal knowledge base.

2. Role Selection

Upon joining the courtroom room, the AI asks the user to choose a role:

Plaintiff
Defendant

This selection conditions the AI’s behavior, tone, and argument strategy.

3. Live Courtroom Simulation

Users argue their case verbally against a live AI opposing counsel.

The AI can interrupt, challenge claims, and counter arguments in real time
Designed to replicate real courtroom pressure and adversarial dynamics

4. Real-Time Transcript & RAG Pipeline

Every 10 seconds, live transcripts are sent to the backend:

Transcripts are converted into vector embeddings
Stored in Databricks Delta Tables with Unity Catalog governance
Indexed for:
- Inline legal queries
- Strategy preparation
- Future judgment simulation

All arguments remain retrievable and grounded.

5. Judgment Simulation

At any point, users can click Simulate Judgment.

A separate AI judge reviews:

Uploaded case documents
Relevant legal precedents
Full conversation history
User role and argument strategy

The judge delivers a reasoned ruling based on historical judicial behavior.

6. Strategy Preparation

By observing how arguments perform under pressure and simulated judicial outcomes, lawyers can:

Identify weak points in their case
Refine oral arguments
Prepare counter-strategies
Enter real courtrooms better prepared

Why It Matters

Courtroom preparation is traditionally static: memos, moot courts, or roleplay. This system creates a live, adversarial, and data-grounded training loop that mirrors real courtroom dynamics.

It demonstrates how retrieval-augmented generation, real-time voice agents, and behavioral modeling can transform professional legal training.