ET Workbench · by Daniel Godfrey
Building AI tools from Employment Tribunal decisions
Practical questions about Employment Tribunal claims, answered from all 134,000 published judgments using AI that runs on a single desktop computer. This site explains how each tool works, what it finds, and where its limits are.
Latest
· Valuing injury to feelings · 2
Injury to feelings: a viewer for 2,510 published awards
Every injury to feelings award in the published judgments, searchable by band, protected characteristic and claim year, with a proposed figure placed among the awards tribunals have made.
3 min read
· Valuing injury to feelings · 1
Injury to feelings: building the awards database
How injury to feelings awards were extracted from every published Employment Tribunal judgment, using a pattern-matching pass, a language model running locally, and checks of every figure against the text of the judgment.
10 min read
· Foundations · 3
Data protection and the judgments
A not so quick word on data protection.
4 min read
· Foundations · 2
Building the corpus: 134,000 Employment Tribunal judgments
How every judgment on the Employment Tribunal register was collected, indexed and made searchable on a single desktop computer, and what the collection turned out to contain.
7 min read
· Foundations · 1
AI in the Employment Tribunal
A series on applying local AI to every published Employment Tribunal decision, and on whether a structured approach can stand up against the large commercial systems.
7 min read