You know that person at medieval court whose entire job was standing between the king and the villagers, turning "Henceforth, by royal decree, all subjects within the realm shall remit unto the crown the customary levies as prescribed by ancient tradition, to be delivered no later than the final day of the harvest moon" into "Taxes are due Friday"? That interpreter got really, really good at spotting which ten-dollar words actually contained information and which were just His Majesty enjoying the sound of his own voice.
That's what large language models do with your insurance policy, medical records, legal contracts, and every other document designed to make you feel stupid. And you can put them to work right now.
Your Interpreter Has Seen Every Royal Decree Ever Written
The AI sitting inside ChatGPT or Claude wasn't taught to translate jargon by reading a dictionary. It read millions of documents (ordinary and technical, simple and complex, across every field humans write about) and learned patterns from that pile of text.
When you feed it a dense paragraph about "failure to maintain adequate security protocols pursuant to subsection 4.2.1," the model recognizes the phrasing. Somewhere in those millions of examples, it encountered insurance policies, their plain-language summaries, forum posts where confused customers asked what their policy actually meant, and explanations that boiled it down. The model learned that this particular flavor of bureaucratic throat-clearing usually translates to something like "we won't pay if you forget to lock your door."
This isn't simple word-swapping. The model understands context. It knows "adequate security protocols" means something different in a cybersecurity document than in a home insurance policy. It preserves the actual meaning while stripping away the decorative language that makes the king sound important but tells villagers nothing useful.
Buried on page 34 of your insurance policy, there's probably a section with five paragraphs of wherefores and heretofores that boils down to a single obligation. The model has seen enough insurance documents to recognize that pattern and extract what actually matters.
Briefing Your Interpreter on What Matters
Before court, you'd brief your interpreter on what the villagers actually need to know. Are they worried about deadlines? Penalties? What they're allowed to do? Same principle applies here.
You can tell the model your role and what you need preserved. "I'm a patient reading my test results. Explain this in plain English but keep any numbers that indicate a problem." Or "I'm a small business owner reviewing this contract. Flag any obligations, deadlines, or costs, and simplify everything else."
Better yet, you can show examples of what you want. "Here's a jargon-heavy sentence and here's how I'd like it translated." The model adjusts based on these instructions.
Medical test results are perfect for this. Your doctor's report might say "glomerular filtration rate of 92 mL/min/1.73m² indicates adequate renal clearance within established parameters." What you actually need to know is "your kidney function is normal." But if you're tracking specific numbers over time, you can ask the model to preserve those values while explaining what they mean.
When Some Words Carry Weight
A good court interpreter knows that some words can't be simplified. You can't translate "knighted" as "got a fancy title" because knighthood comes with specific legal rights. The word itself matters.
Software licensing agreements throw around terms like "perpetual license" and "subscription," and those aren't interchangeable. One means you own the software forever. The other means you're renting it monthly, and it vanishes if you stop paying. Simplifying that distinction into "you can use the software" loses crucial information that might cost you thousands of dollars.
You can ask the model to flag terms that carry specific legal or technical weight, then explain what those terms mean rather than paraphrasing them into mush. Some people request a two-tier output: a simplified version for quick understanding plus footnotes explaining the critical details that need precision.
The interpreter knows when to say "the king used a specific legal term here, and here's what it means" instead of guessing at a casual equivalent that misses the point entirely.
So what can YOU do with this?
Start with anything you're about to sign. Paste that contract into ChatGPT or Claude with the prompt "explain this in plain English and flag any obligations or deadlines." Read both versions before you commit. You'll spot the buried auto-renewal clause or the paragraph that quietly makes you responsible for someone else's mistakes.
Got technical specifications for a product you're considering? Upload them and ask "what does this product actually do and what are its limitations?" You'll learn whether that router really covers 3,000 square feet or if that's only under ideal laboratory conditions that don't exist in your house.
Your company's legal or technical team just sent meeting notes full of jargon, and you need to update the rest of your department? Feed those notes to the model and ask for a version that non-specialists can understand.
Medical documents and bills are notoriously impenetrable. Run them through AI to understand what you're actually being told or charged for. "Translate this explanation of benefits and tell me what I owe and why" turns a six-page insurance document into actionable information.
Here's a sneaky one: use it on your own writing. If you work in a specialized field, you've probably gone nose-blind to your own jargon. Ask the model to simplify your email or report. If it struggles to translate something you wrote, that's a sign you've accidentally buried your point where nobody will find it.
That 47-page employee handbook section on PTO policy? You don't need to read it. You need to ask the model "how many vacation days do I actually get and when do they expire?" Get your answer in 30 seconds instead of 30 minutes of cross-referencing subsections.
TL;DR
AI models trained on millions of documents can translate jargon-heavy text into plain language while keeping the details that actually matter to your situation. Give the model context about your role and what you need preserved (dates, costs, obligations) for output tailored to your needs. Use it on contracts, medical records, technical specs, legal documents, or any impenetrable text before making decisions or signing anything. Always review the output for critical details, especially on legal or financial documents, and ask the model to flag terms that need precision.
The king's still going to write his proclamations in the fanciest possible language. At least now you don't have to pretend you understood them.
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