Questions about money, taxes, contracts and rights are among the most consequential people put to AI. They are also among the most dangerous to get wrong, because the correct answer depends on facts that change by country, region, year and the details of your situation. AI can help you understand and prepare. It should rarely be the last word.
What AI is good at here
- Explaining concepts. How compound interest works, what a deductible is, what "force majeure" means, how a lease differs from a license.
- Organizing your situation. Listing the facts a professional will ask for.
- Drafting questions for an accountant, lawyer, bank or landlord.
- Summarizing documents. A long contract or a policy, with the caveat that summaries can drop or distort clauses.
- Comparing options in general terms. The pros and cons of paying down debt versus investing, as a framework, not a recommendation.
- Making a checklist. Documents to gather, deadlines to look up.
Why it fails here more than elsewhere
Jurisdiction and date
Tax rules, limits, thresholds and legal standards vary by place and change every year. A model may answer for the wrong country or with last year's numbers and sound equally sure.
Your specific facts
"Can I deduct this?" depends on details. A general answer can be right in general and wrong for you.
Invented authorities
There are well-documented cases of lawyers submitting court filings containing case citations generated by an AI that did not exist, and being sanctioned for it. Never cite a case, statute or regulation you have not looked up in a reliable source.
Numbers
Rates, limits and calculations are prone to error unless computed with a tool.
Incentives
AI is not a fiduciary. It has no duty to act in your interest, no license to practice, and no liability if it is wrong.
Agreeableness
A model can validate the plan you describe instead of challenging it.
A responsible workflow
- State the country or region and the tax year or date.
- Use AI to learn the concepts and get oriented.
- Ask which factors would change the answer, and answer them honestly.
- For any rule or number, find the official source: tax authority, statute text, regulator, your contract.
- Recompute numbers with a calculator or spreadsheet.
- Check deadlines on official calendars.
- For decisions with significant money or legal exposure, talk to a licensed professional. Take the AI's summary with you as a starting list of questions.
Contracts
Do not sign something because an AI said it looked fine. Ask the model to list unusual or one-sided clauses, termination terms and obligations, then take that list to someone qualified. Remember that an AI reading a contract might miss what is not written.
Investments
No model can predict markets. Treat any confident forecast with suspicion. General education about diversification and costs is fine; specific picks are not something to take on faith. Be wary of AI-generated "get rich" claims and of anyone using AI to sell you a product.
Privacy
Account numbers, tax IDs, full names and contracts are sensitive. Redact them before pasting, and check how your provider handles stored prompts.
Questions to bring to a professional
A good use of AI is to produce a list of questions that make a paid hour more valuable. For tax, ask the accountant which filing status applies, which credits and deductions you may qualify for, which records to keep, what the deadlines are, and what changed this year. For a contract, ask the lawyer which clauses are unusual, what happens on termination, who bears liability and how disputes are resolved. For a financial plan, ask the adviser how they are paid, what the total fees are and what risks the plan carries. Show up with your documents organized and your goals written down. The AI's role is preparation. The professional's role is judgment and accountability.
FAQ
Is AI financial advice legal?
Laws on who can give regulated advice vary. An AI chat is generally treated as information, not personalized advice, but check your local rules and the provider's terms.
Can a second AI check the first?
It can catch some errors, but both may be wrong on rules that changed recently.
How Keplar approaches this
Keplar is not a financial or legal adviser. For money and legal questions, the classifier treats analysis and finance as more demanding, so these questions tend to get a larger panel, with a review step and a judge if they disagree. Seeing where models differ on a rule or a threshold is a useful hint about which numbers to look up.
Calculations are computed by code, not generated. Keplar does not open statutes, tax pages or case databases, shows no accuracy score, and has no live lookups, so dates, rates and citations must be checked at the official source. Sources the models cite are labeled "Cited by <model>; Keplar didn't open or check." For decisions that matter, use a licensed professional. See which questions use more models.