NIR.SYSTEMS
Specialist AI foundation

Amicus Legal AI

A legal-research AI foundation that can be adapted to your own branded legal information product.

$899 one-time branded build
What it is

Simple purpose. Clear use.

Amicus is NIR's legal-AI foundation for legal research questions, authorities and document-analysis workflows.

Who it is for

Built for a specific job.

Legal publishers, legal-tech entrepreneurs, firms building internal research tools and businesses that need a focused legal-information interface.

How it works

From start to useful.

  1. Choose Legal Research AI at checkout.
  2. Define the jurisdiction, audience and use case.
  3. NIR prepares the branded instance within the agreed scope.
  4. Appropriate legal sources, model/API access and safeguards are configured as required.
Questions

Frequently asked questions

Is it a lawyer?
No. AI can support legal research and information, but it does not become a licensed lawyer by being branded as a legal product.
Can it provide legal advice to the public?
That depends on the jurisdiction, product design and regulatory obligations. Public-facing legal products need especially careful scope, disclaimers and human review.
Can it cite legal authorities?
The foundation is designed around research and authority-oriented workflows, but source quality and jurisdiction coverage depend on the final integrations and data available.
Can a law firm use it internally?
Yes. An internal research-support use case may be a strong fit, provided confidentiality, data handling and professional obligations are properly addressed.
Can I sell access?
Yes under the commercial instance licence, but the buyer remains responsible for the legal and regulatory suitability of the service being offered.
Does NIR guarantee the legal answer is correct?
No. Legal information can change and AI can make errors. Important matters require verification against authoritative sources and qualified legal judgement.
Important: Specialist AI can make mistakes. Regulated, safety-critical or high-stakes uses may need professional review, authoritative data, additional safeguards and jurisdiction-specific compliance.