AI prompting and bias training for legal and governance teams

Your people have the AI. This is the training that makes them safe and effective with it: how to prompt well, verify efficiently, and recognise the moments when human bias and machine bias combine to produce answers that feel checked but aren't.

Interactive, practical, and model-agnostic.

The skill gap isn't prompting. It's judgement

Most AI training teaches syntax — magic phrases for better outputs. Useful, but it misses where legal and governance work actually goes wrong: users write leading questions and the AI politely agrees; fluent answers earn unearned trust; verification is skipped when the checking is hard. Researchers now call this compound human–AI bias, and it's the failure mode our training is built around. Participants learn to prompt for accuracy rather than agreement, to verify against the source quickly instead of exhaustively, and to spot the interaction patterns that mislead — skills that transfer across every model and tool, which is why our sessions are deliberately vendor-agnostic.

Session formats

Interactive workshops (half-day or full-day) using your document types and realistic scenarios; executive briefings for boards and leadership on governing AI over the organisation's knowledge; and train-the-trainer programs for legal ops and knowledge teams embedding capability internally. All sessions are built by the team the FT has recognised for AI work every year since 2022 — and informed by what we see in live user testing of people using AI on legal documents, which is where the real failure patterns come from.

Who it's for

In-house legal, risk, compliance and governance teams; law firms rolling out AI platforms; and government agencies deploying assistants over policy and legislation. Our programs were specifically developed for risk-averse, highly analytical professionals — we've been training lawyers in new ways of working since our legal design training began in 2018.

Legal Design Training

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