ET Workbench

Roadmap

The series

Articles on each part of the project, grouped by stage and listed in reading order.

Stage 1

Foundations

The project, the collection of judgments it is built on, and the data protection questions it raises.

  1. 1AI in the Employment Tribunal
  2. 2Building the corpus: 134,000 Employment Tribunal judgments
  3. 3Data protection and the judgments

Stage 2

Valuing injury to feelings

Extracting every injury to feelings award from the judgments, checking them, and making them searchable.

  1. 1Injury to feelings: building the awards database
  2. 2Injury to feelings: a viewer for more than 2,500 published awards

Stage 3

Assessing a claim

How far AI running on a desktop computer can help assess a potential claim, working from tribunal decisions and the statutes.

  1. 1Local and cloud AI: what the difference means for employment advice

Stage 4

Trends in the tribunal

Patterns across the published judgments, including representation, protected characteristics and awards over time.

  1. 1ADHD and autism in the tribunal
  2. 2Disability in the tribunal: a viewer for 12,857 judgments

Coming later

Testing AI on employment law

A blind-marked comparison of how general-purpose AI services and a local tool handle realistic employment law problems.