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refurbtoday at 2:14 AM3 repliesview on HN

I’m curious how this increased throughput happens.

You’ve accurately stated that AI isn’t as rigorous as a trained attorney. Doesn’t that mean that every single datapoint must be confirmed by a human?

How is that quicker than just using a human to read the content and make the call? Data entry savings?


Replies

ivraatiemstoday at 4:30 AM

Yes, remember that these are effectively random PDFs in various different designs and formats, some of them not editable or even OCR'd.

It took a human attorney 20-30 minutes on average to manually copy-paste data from these PDFs into a spreadsheet (while also fixing any errors they found in the document and re-checking for quality).

Now, the AI copies everything into the spreadsheet in a small amount of time, and then the human reviews it. It takes maybe ~5-7 minutes to scroll to the appropriate pages in the document, read the lines vs the spreadsheet, and make corrections. So you've gone from 2-3 items an hour to ~8-10 items an hour.

Maybe you could pay someone to develop an OCR/ML application that could do this. But that project would never be profitable, even with the time savings. At the cost of a couple Claude subscriptions, it makes sense.

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juicelandtoday at 2:19 AM

You don’t need a trained attorney to schematize data. The LLMs are used to make the data easier to understand and manipulate.

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edmundsautotoday at 4:14 AM

Reviewing something takes less time than producing it.

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