undifferentiated to the laymen perhaps, just as I'm sure programmers are to the uninitiated. Guessing if you dug into their past cases, their degrees, grades, etc, you would see differentiation. If you were facing life in prison or the death penalty, you would probably want to know the specifics and not just "lawyers are interchangeable, give me a script to read in court -- its something we should have automated already."
Perhaps a more apt approach would be to expose more information about lawyers to the public, so they can make a better decision. There are sites that do this (showing average win rates, average payout, response time, years in practice etc).
But maybe people don't know about these sites, or there are other reasons people select based on advertising rather than cold logical analysis.
The kind of data you refer to make for bad metrics, and if widely used would create incentives that are at odds with established legal ethics.
You know how study after study has shown that when selling your house, real estate agents always push you to accept early offers regardless of price, but when selling their own house, they will keep it on the market longer in order to get more favorable offers? The real estate system has a built-in conflict of interest. The legal system has a lot of enforceable ethical rules to prevent such things. But the metrics you want to use subvert that.
I’m not going to take your case - the potential payout is too low. I’m not going to take your case - it will take too long to get a resolution. Let’s not examine this line of thinking - it might blow the case wide open. You want the other side to change their behavior? No, it’s better if you demand money. Etc…
Perhaps a more apt approach would be to expose more information about lawyers to the public, so they can make a better decision. There are sites that do this (showing average win rates, average payout, response time, years in practice etc).
But maybe people don't know about these sites, or there are other reasons people select based on advertising rather than cold logical analysis.