Claude AI resolves arbitration disputes in 12 minutes instead of weeks
A Telegram bot on Claude Sonnet analyzes arbitration cases in 12 minutes instead of the three weeks spent by human judges. In three out of four tests, its decis

AI Claude Resolves Arbitration Disputes in 12 Minutes Instead of Weeks
AI can accelerate legal proceedings several times over. An author from Habr created a Telegram bot based on Claude Sonnet 4.6 that renders decisions on arbitration disputes faster and often more accurately than human judges.
Experiment with a real case
Everything started simply: the author took a case on which live arbiters had deliberated for three weeks. It included arbitrator summaries, vacations, scandals, and three parallel negotiations between the parties. Then he ran the same screenshots and facts through his bot.
Result: a verdict in twelve minutes. The substance matched — who was right, what obligations existed, what the timeframe was, what happens if not fulfilled. First success.
Then the author tested four more old cases. Three out of four, the AI decided word-for-word the same way as live judges. And in the fourth case, the bot caught a detail that the arbitrators missed.
The match is not absolute, but impressive — the AI derived the same logic, the same timeframes, the same measure of responsibility.
How the bot works
The architecture is two-tiered: Haiku operates as a secretary, Sonnet as a judge.
- Haiku filters incoming documents and screens out garbage
- Sonnet analyzes the essence of the dispute and renders a decision
- Asyncio debounce prevents spam in Telegram
- The bot checks crypto transactions across 12 blockchain networks in parallel
- Private groups via Telethon-userbot isolate participants
The article contains full source code with prompts — you can replicate it. Interestingly, the Sonnet prompt is written as instructions to a live judge: "You are an experienced arbitrator, you are given a dispute between two parties..." This forces the model to think in the right style and render a well-reasoned decision, not just theses.
Problem: accuracy and errors
It doesn't always match to the letter. On complex cases with ambiguous situations or conflicting laws, AI can make mistakes. Especially difficult are cases involving CAPTCHAs, identity verification, or strange local practices. But for standard disputes — when there is a contract, facts are clear, the question is in their interpretation — AI works more stably. It doesn't get tired, doesn't get distracted, isn't subject to bad mood or political intrigues. In this sense, justice truly becomes blind.
Redefining roles instead of replacement
The article ends with a provocative question: is it time to fire live arbitrators? The answer, apparently, lies not in complete replacement, but in a reallocation of roles. AI is suited for the first instance, processing standard cases, filtering out obvious violations. A live judge should consider precedents, conflicts of norms, human dramas, where wisdom is needed, not a rule.
What this means
Judicial systems will begin to hybridize. AI will take on the role of a judge's assistant or first instance — analysis, filtering obvious violations, accelerating routine. There will be fewer live judges, but their role will become higher: complex cases, precedents, verification of system operations. For plaintiff and defendant, this is good — a verdict in 12 minutes instead of three weeks.