IR Insights

RESEARCH TOOLS AND GUIDANCE FOR ENTERPRISE BARGAINING IN THE HIGHER EDUCATION SECTOR

This website provides experimental research tools to assist employer-representatives during enterprise bargaining. Developed as a zero-cost, proof of concept powered by Google's Notebook LM.

RESEARCH TOOLS

Higher Education Enterprise Agreements & Awards
Research, compare and benchmark against the most recent higher education sector enterprise agreements and relevant modern awards.
Last updated: 26/03/2026

Plain Language Drafting Assistant
A CustomGPT that applies the Fair Work Commission's Plain Language Drafting Guidelines to clauses to improve drafting, readability and understanding of enterprise agreement provisions.
Last updated: 26/03/2026

Union Claims
Compare and research publicly sourced union Logs of Claims being pursued this round of bargaining.
Last updated: 26/03/2026

Bargaining Process, Practice and Guidance
Guidance on the bargaining process and requirements including: mandatory & prohibited terms, negotiation requirements, good faith bargaining protocols, ballot & approval process, Better Off Overall Test (BOOT), provisions of undertakings.

Managing Industrial Action
Requirements and guidance on taking and responding to Industrial Action.

Intractable Bargaining & s.240 Disputes
Guidance on the intractable bargaining process when parties reach an impasse.

Fair Work Act, NES conditions, Common FWC Processes
Searchable Fair Work Act, Regulations, FWC Rules, NES conditions. Includes FWC bench books with guidance and selected case law on common Fair Work Commisison matters and processess.
Last updated: 18/02/2026

PROOF OF CONCEPT IN ACTION

An advantage of using NotebookLM is the remarkable Studio outputs that are available. The tool is capable of taking a set of source documents and automatically generating publication-quality podcasts, audio briefs, video overviews, infographics and more, all grounded in the actual source material.

As a visitor to the shared notebooks above you can explore these outputs freely, though to generate your own outputs from your own source material, you would need to set up a free NotebookLM notebook and load your own sources.

The examples below were produced as a proof-of-concept exploring how this technology might support professional learning, briefings and knowledge-sharing in the higher education IR space. These outputs are experimental and AI-generated. They may contain inaccuracies, so treat them as a starting point and verify anything critical against the original sources.

IR Insights is designed as a research and exploration aid to support understanding and comparison of complex material; assist with orientation to unfamiliar topics or processes; and to help identify patterns, themes, and points of difference across documents. It is not intended to: provide legal, industrial, or professional advice; replace primary source analysis; determine bargaining positions or outcomes. All outputs are experimental, and should be treated as informational and should be validated against original sources.

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