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.

Read the articles →Search the injury to feelings awards →

Where 2,510 injury to feelings awards sit within the Vento bandsEach dot is one award, placed by reference to the bands for the year the claim was presented. 7 awards without a readable claim year are not shown. Open the viewer to search them.Above upper: more than the upper band limit for the year the claim was presented.
Strip chart of 2,510 injury to feelings awards by position within the Vento bands: 1,228 in the lower band, 1,183 in the middle band, 85 in the upper band and 7 above it. 7 awards without a readable claim year are not shown.Lower bandMiddle bandUpper bandAbove

Latest

  1. · Part 05 · Valuing injury to feelings

    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.

    4 min read

  2. · Part 03 · Foundations

    Data protection and the judgments

    A not so quick word on data protection.

    4 min read

  3. · Part 02 · Foundations

    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, what the collection turned out to contain, and what would be involved in doing the same.

    8 min read

  4. · Part 01 · Foundations

    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

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