Legal Lingo

What it does

Legal Lingo makes learning practical law fast and fun. Get daily legal scenarios based on your country. Challenge yourself with real-world questions, track your streaks, and grow your legal fluency, all in under a minute a day.

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  review.legal2024 · review.legal · ▲285

  Understand your legal documents better than ever before

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  PrettyPolly2024 · ▲202

  Learn a language quickly by practicing speaking with AI

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  TermyAug 2026 · termy.ai · ▲122

  Termy turns the content you already enjoy into language practice. Press a shortcut in any game, video, website, or app to get an in-context explanation of a word or phrase. Save it with its original sentence, screenshot, translation, and pronunciation, then review it through adap

• UA
  Using AI to Summarize Terms and Conditions2018 · ▲91

  88% of people never read the terms and conditions of websites or services they use. However, most people want to know what they are agreeing to in those terms. That is why we created Legal Leaf. We strongly believe that everyone should have easy access to those agreements, in language they can understand. Legal Leaf works behind the scenes, in your browser, to read and summarize these terms using powerful AI. We're constantly working to improve the accuracy of these summaries. The results are displayed in the top right corner without affecting web speeds. Legal Leaf is a beta product still…

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  Lingo Champion2025 · lingochampion.com · ▲108

  Acquire languages on the go from the news, videos etc.

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  E-Legal AI2023 · e-legal.ai · ▲99

  Understand any legal document in minutes

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  Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…

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  https://the-pocket.github.io/Tutorial-Codebase-Knowledge/

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