Insights on AI research for regulated domains
When Belgian tax sources disagree, the worst thing an AI tool can do is pick one and act confident. Here's what honest uncertainty looks like.
Accuracy claims without published metrics are marketing. Here's what it takes to measure legal AI honestly, and why the industry avoids it.
Stanford found that premium legal AI tools hallucinate 17-33% of the time. But the most dangerous finding wasn't the hallucination rate — it was misgrounding.
Belgian tax law changes twice a year minimum. If your AI tool can't tell 2019 from 2026, its answer isn't wrong — it's for the wrong year. Here's what temporal versioning is and why it matters.
The AI industry obsesses over accuracy benchmarks. For tax professionals, verifiability is the metric that actually protects you.
LLMs overestimate their own correctness by 20-60%. Confidence scoring doesn't fix that problem — it makes it visible. For tax professionals, that visibility is the difference between a research tool and a guessing machine.