LexArena

Open Source

LexArena (OpenCourt) is a premium desktop tool that uses AI agents to simulate Indian court proceedings. Upload case files, configure your LLM provider, and run Monte Carlo simulations for win probability estimates and mitigation strategies. Built around IPC, CrPC, CPC, and the Evidence Act.

Built by Navneet Chaudhary (NKC / @nkcbuilds).

LexArena is a self-hosted legal simulation workspace for Indian case preparation. It is designed to run structured agent simulations over case material and surface risks before a real hearing does.

Agent roles for claimant, defense, judge, and reviewer perspectives.
Monte Carlo-style runs for outcome bands instead of one brittle answer.
Risk factors, evidence gaps, and mitigation notes.
Local-first posture for sensitive legal material.

Highlights

Agentic trial simulation tailored to Indian law
Monte Carlo win probability estimation
Local / self-hosted privacy model
Actionable mitigation strategy output

Stack used

Python AI Agents LLMs Desktop Legal AI