Evidence & Portfolio

Show the work. Make quality inspectable.

LexNusa uses client-safe demonstrations, structured methodology, and traceable evaluation records to make legal-AI quality visible before a larger engagement begins.

Featured Evidence · Portfolio #1

Evaluating AI-Generated Legal Answers

A LEX-EVAL™ Benchmark

A controlled demonstration using synthetic AI outputs to show scoring, authority review, error classification, Critical Legal Failure logic, and gold-standard correction.

20

Questions

20

Outputs

7

Dimensions

100

Points

Evidence standards

Client-safe demonstration data

No unsupported performance claims

Traceable methodology and scoring

Clear distinction between demo and empirical evidence

Human legal review as final quality gate

Portfolio Roadmap

A growing evidence base.

01

Evaluating AI-Generated Legal Answers

LEX-EVAL™ controlled demonstration benchmark

Available
02

Comparative Vicarious Liability Case-Law Mapping

Structured judicial and doctrine mapping

In development
03

Indonesia Legal Intelligence Brief

Market-entry style legal intelligence for an EdTech scenario

Planned
04

Human vs AI Contract Review Benchmark

Comparative review quality and error analysis

Planned
05

LEX-EVAL™ Framework v1.0

Methodology architecture, scoring, CLFs, and QA logic

Available

Methodology

Scoring rules, error taxonomy, severity levels, and Critical Legal Failure logic.

Quality Assurance

Source verification, reviewer judgment, traceability, and correction workflow.

Empirical Benchmarking

Model-to-model testing can be added when outputs are collected under a controlled protocol.