Aequitas Lex Documentation

A concise reference for the assessment pipeline, severity model, and on-chain transparency guarantees.

Overview

Aequitas Lex is an AI-powered legal case assessment platform built on GenLayer Intelligent Contracts. It ingests case submissions, produces structured AI analyses, and reaches a multi-validator consensus on severity — all with explainable reasoning committed to the chain.

Aequitas Lex does not determine guilt or issue legal judgments. It offers explainable severity recommendations for investigators, analysts, and administrative bodies.

Workflow

Submit a case with title, description, category, estimated damage, optional location, and up to five evidence images.
An Intelligent Contract dispatches the payload to three independent AI validators.
Each validator returns a severity score, a confidence value, and short reasoning.
The contract computes a consensus score and severity tier.
The record — case hash, transaction hash, timestamp, verdicts — is stored immutably.

AI Reasoning

Each analysis extracts a summary, key facts, evidence consistency, risk indicators, financial impact, and public impact. Confidence scales with the richness of the submission — narrative depth and evidence artifacts materially improve accuracy.

Validators

Three validators — Solon, Cicero, and Ulpian — reason from distinct lenses: procedural evidence weight, harm magnitude and intent, and precedent alignment. Their independent votes are averaged into the consensus.

Severity Model

Low Score 0–37

Minor impact, low harm

Medium Score 38–61

Moderate impact, noticeable harm

High Score 62–81

Significant impact, serious harm

Critical Score 82–100

Severe impact, extreme harm

Transparency

Every assessment stores a timestamp, case hash, tx hash, block number, consensus score & tier, and per-validator reasoning. Records cannot be silently modified after commitment.

Ready to try it?

Submit a demonstration case and inspect the full reasoning trail.

Create a case