- Original Poster
- #1
Hi everyone,
Full disclosure: I'm a developer based in Canada, and I'm using AI tools to help me parse the massive documentation for the UK Employment Rights Act 2026.
I'm building a tool to help UK SMEs handle the 'admin burden' of the new 6-month unfair dismissal rule. The AI and I have identified a major procedural trap: the Notice Period Overlap.
The Logic: If a probation review happens at exactly 6 months, but a 1-week notice is required, the employee hits Day 182 while on notice and gains full rights. To solve this, my tool calculates a 'Latest Decision Date' by subtracting notice from the 182-day limit.
Where I need your help: As experts, does this 'machine logic' hold up in a real UK tribunal setting? I’ve set a 'Red Alert' for Day 150 (Month 5) to ensure a fair process is documented. Is that enough of a buffer, or is there a 'human' nuance I'm missing?
I don't want to release a tool that gives bad advice, so I'm looking for a 'sanity check' from the people who actually deal with these laws every day.
Full disclosure: I'm a developer based in Canada, and I'm using AI tools to help me parse the massive documentation for the UK Employment Rights Act 2026.
I'm building a tool to help UK SMEs handle the 'admin burden' of the new 6-month unfair dismissal rule. The AI and I have identified a major procedural trap: the Notice Period Overlap.
The Logic: If a probation review happens at exactly 6 months, but a 1-week notice is required, the employee hits Day 182 while on notice and gains full rights. To solve this, my tool calculates a 'Latest Decision Date' by subtracting notice from the 182-day limit.
Where I need your help: As experts, does this 'machine logic' hold up in a real UK tribunal setting? I’ve set a 'Red Alert' for Day 150 (Month 5) to ensure a fair process is documented. Is that enough of a buffer, or is there a 'human' nuance I'm missing?
I don't want to release a tool that gives bad advice, so I'm looking for a 'sanity check' from the people who actually deal with these laws every day.
