blee37

Bryant here from Cognition. We're running two entities, a tech company and law firm, and the tech company received investment from YC.

We'd like to be able to pinpoint a lawyer who is good at the specific legal problem that the user has. So we'd want to filter cases so that data can be counted on narrow ranges of very similar cases. Right now we're filtering the data at the level of case type, and we'd like to add additional filtering on specific factors in the future.

Some of the filtering and case patterns would probably be best identified with machine learning.

It's a good idea to search for a lawyer who is good at the specific service you require. We're working on making the data as narrowly tailored as possible to the problem the user is searching for. Right now, the data is filtered to the level of case type. Later on, we can add additional specific factors.

Verified reviews are also something we'd like to add. Also, we'd want to filter the reviews to show more prominently reviews from past users who used the lawyer for the same issue.

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My presentation: https://www.startupschool.org/presentations/242