Trusted Record Platform: Brandeis-TRP
An independent governance layer for AI in courts
Courts are beginning to use AI for transcription, research, document processing, evidence analysis and other functions.
That creates a difficult governance question.
Who verifies the AI system itself?
Brandeis TRP is being developed around the proposition that courts need an independent governance layer sitting between AI vendors and the justice institutions relying on their outputs.
Its initial application is AI-assisted court transcription.
The Eunomia Trusted Record Platform is designed to sit above existing transcription and automatic speech-recognition providers rather than replace them. It adds governance mechanisms including confidence scoring, speaker-attribution verification, tamper-evident chain-of-custody records, controlled redaction, format verification and audit-ready records.
The broader Brandeis model extends that concept to other AI systems used by courts and tribunals.
The underlying principle is straightforward:
the organisation producing an AI output should not be solely responsible for certifying the reliability of that output.
There are parallels elsewhere. Companies don’t audit their own financial statements, and numerous industries rely on independent certification against technical or safety standards.
Brandeis proposes a similar separation for justice-sector AI.
Its model includes an independent certification standard that courts could specify in procurement and technology vendors could obtain by demonstrating compliance with defined governance requirements.
That becomes increasingly important as AI moves from administrative convenience into functions capable of affecting legal rights.
An inaccurate AI-generated summary is one problem. An inaccurate official court transcript, evidentiary analysis or risk assessment relied upon in determining someone’s case is another.
Brandeis TRP therefore represents a different category of legal technology.
It isn’t primarily technology for doing legal work. It is infrastructure for governing the technology that does legal work.
As courts deploy more AI, that could become an increasingly important part of the justice technology stack.
