Loading…

G4S Care & Justice Services (UK) Limited — employment tribunal cases | Tribunal Watch

Employer file

Employment tribunal cases against G4S Care & Justice Services (UK) Limited

Since 2017, G4S Care & Justice Services (UK) Limited has appeared as a respondent in 10 employment tribunal cases, with £0 in total awards recorded against the employer.

Companies House number: 00390328
Status: Active
SIC codes: 84230

Total cases: 10
Total awarded against: £0
Largest award: —
Most common claim: Unfair dismissal

Indexed: 5 May 2026

Cases by claim type

12 distinct categories

#	Claim type	Cases
01	Unfair dismissal	7
02	Whistleblowing	3
03	Race discrimination	3
04	Unlawful deduction from wages	2
05	Sex discrimination	2
06	Working time regulations	1
07	Breach of contract	1
08	Trade union	1
09	Sexual orientation discrimination	1
10	Victimisation	1
11	Disability discrimination	1
12	Other	1

All cases

10 cases · chronological

Case ref.	Decided	Jurisdiction	Claimant	Claim types	Award
1305964/2024	15 December 2025	England & Wales	Mr I Blake-Mills	Whistleblowing, Race discrimination, Unfair dismissal	—
3315477/2022	5 August 2025	England & Wales	Mr T John	Race discrimination, Unlawful deduction from wages, Working time regulations	—
3311903/2023	25 November 2024	England & Wales	Mr Ronald Wilson	Race discrimination	—
3304184/2022	29 August 2023	England & Wales	Mr M Marsh	Breach of contract, Unfair dismissal, Unlawful deduction from wages	—
2602347/2019	18 March 2020	England & Wales	Miss S Garrett	Whistleblowing, Sex discrimination, Unfair dismissal	—
2402253/2019	23 January 2020	England & Wales	Ms M Devine	Sex discrimination, Trade union	—
1601512/2019	20 January 2020	England & Wales	Mr L Bouchard	Sexual orientation discrimination, Unfair dismissal, Victimisation	—
1601128/2019	7 November 2019	England & Wales	Mr N Price	Disability discrimination, Unfair dismissal	—
2600700/2019

Methodology

Data extracted from published employment tribunal judgments on gov.uk. Case reference, decision date, judge, venue and claim categories come from structured metadata. Claimant and respondent names are extracted from the judgment PDF text. Outcomes and compensation are not yet populated for every case — see how the data is built.