SimpleLegal (YC S13) Reduces Legal Bills With Machine Learning

Re:SimpleLegal (YC S13) Reduces Legal Bills With Machine Lea... by radicalbyte on Tuesday August 06, 2013 @01:13PM (#6167798)

You'll get 80% of the benefit just by looking at word frequency, highlighting outliers and then a weight based on factors such as length and secret-sauce weighting.

Bonus points if you're using multiple categorizations (using different weights for different industries).

NLP / statistical stuff is fun ;)

Are you scanning / OCRing the documents? I never managed to get the OCR to be good enough for invoicing, there always had to be a manual process to fix the (machine-learning-flagged) errors.

Or don't you need accurate-to-the-cent invoices?

[ Parent | on HN ]

Re:SimpleLegal (YC S13) Reduces Legal Bills With Machine Lea... by nwenzel on Tuesday August 06, 2013 @01:38PM (#6167963)

Word frequency is in use at many larger insurance companies today. You can certainly find problematic bills with word frequency and the hours billed, but you end up with a lot of false positives so you still have to manually review everything. We get in deeper than word frequency.

And, yes! NLP + statistics is fun!

[ Parent | on HN ]