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ROI: How to calculate the cost of AI errors — and prevent them through training

29 April 2026

Telling lawyers that AI makes mistakes does not make them better at catching them.

Most firms respond to AI risk with a policy document, a training session, or a cautionary email. These approaches share a fundamental problem:

They inform people that AI hallucinates. They do not give people the experience of being the one who missed it.

That distinction matters enormously.

Why personal experience changes behaviour

Research on error prevention in high-stakes professions consistently shows that behaviours change most reliably when attitudes are formed through direct personal experience rather than instruction alone. Trainees who encounter error situations early in their development are significantly more likely to treat errors as a real and ongoing risk — actively checking, questioning output, and seeking confirmation. Trainees who are only told about errors tend to rationalise them as unlikely.

The practical implication:

a trainee who has personally relied on a hallucinated citation, produced a draft that survived two read-throughs before the error surfaced, and seen the consequences play out — that trainee checks differently. Permanently.

How BeSavvy builds this in

BeSavvy embeds AI errors directly into simulations: hallucinated case citations, subtly incorrect clauses, plausible but fabricated due diligence findings. Trainees work with them exactly as they would in real life — drafting the advice, sending the email, submitting the review — and then see what happens next.

The goal is not to trick anyone.

It is to create the personal experience of getting it wrong in an environment where the consequences feel real but remain contained.

What this is worth

Consider a single AI-related error reaching a client: a hallucinated citation in an opinion, an incorrect clause in a drafted agreement, or a missed risk in a due diligence report.

ScenarioCost estimate50% probability reductionAnnual saving
Conservative error cost£15,00050%£7,500
Mid-range error cost£35,00050%£17,500
High-end error cost£50,00050%£25,000

This is before accounting for the productivity gains from trainees who use AI tools more efficiently and require less supervision to validate their output.

Bottom Line

The firms that will own the AI-era talent advantage are not those that told their juniors to be careful. They are those that made their juniors personally familiar with what carelessness costs — before it happened on a live matter.