Legal Drafting and Computer Programming

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  • Protégé

    Protege Desktop

  • If you could put this into an ontological solver format, like Cyc or protege ( https://protege.stanford.edu/ ) then create a couple dozen translations of real laws into the format, you could turn gpt-3 loose on the entire set of United States federal, state, and local laws and regulations. Then propose a question to the solver using your model whereby a person can successfully sue or acquire property according to the letter of the law.

    There are probably hundreds of obscure unintended consequences of laws not intended to have the effects they do in practice.

    Figure out contract law and parse website TOS and EULAs for violations and you could probably make some money.

    The biggest benefit of such a system, though, would be for actual legislators, so they could run simulations of proposals to get a sense of consequences in practice. Simulation and summarization could be very powerful.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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