#tax technology
8 posts
Why Belgium is the perfect market for specialized tax AI
Harvey raised $760M. Blue J raised $133M. Neither can answer a question about erfbelasting in Brussels. Here's why that creates an opportunity.
Why we're not building a chatbot
Chat interfaces feel modern but produce ephemeral, indefensible output. Professional tax research needs structured answers you can file, reproduce, and defend.
"I don't trust AI for tax advice." You're right. Here's why you should try it anyway.
AI skepticism in tax is rational. Most tools deserve it. But rejecting the entire category because ChatGPT hallucinated a tax rate is like refusing calculators because the first ones jammed.
5 Belgian tax questions where generic AI is guaranteed to fail
These aren't trick questions. They're routine queries any tax professional faces. But they expose five architectural blind spots that no general-purpose AI can fix with a better prompt.
What is RAG, and why it's not enough for legal AI on its own
How retrieval-augmented generation works, why basic RAG still hallucinates, and what a search-RAG fusion architecture adds for tax professionals.
How to evaluate a legal AI tool: 10 questions that actually matter
Most firms start by asking 'how accurate is it?' That's question 10 on this list. Here are the nine questions you should ask first, and why they matter more for professional tax work.
Fine-tuning vs. RAG: two ways to make AI smart, and why it matters which one your tax tool chose
Fine-tuning memorizes yesterday's law. RAG looks up today's. For Belgian tax professionals, this architecture choice determines whether your AI tool is current or confidently outdated.
AI hallucinations: why ChatGPT fabricates sources (and how to spot it)
Why language models invent legal citations, what makes Belgian tax especially vulnerable, and three defenses that actually work.