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Sure. My bad. Been coding for 12 hours... So introducing AI is not unlike the innovator dilemma, it will push human lawyers up and up. However, I think that eve
by streetcat1 7y ago
Sure. My bad. Been coding for 12 hours...
So introducing AI is not unlike the innovator dilemma, it will push human lawyers up and up. However, I think that even if the demand is not fixed, most of it is for basic legal services.
- dragonwriter 7y ago> However, I think that even if the demand is not fixed, most of it is for basic legal services. I dunno, public defenders’ work is in a way the most basic of legal services, and from everything I've seen their time is rationed pretty heavily because there simply aren't enough resources. There’s a lot of room to translate more productivity into more getting done rather than fewer people doing the same level of work. (OTOH, I'm not all that optimistic about AI short of AGI helping that much in the aspects needed in that role, because I think the limiting factors there are the harder to automate aspects of lawyering, not the more mechanical ones.)
- streetcat1 7y agoI personally think that the problem with AI today is deployment and not research. You see a lot of very busy lawyers not because AI cannot help, but because it is not deployed. The same applies to health care. Even if we come up with super human models for cancer detection, they are not deployed. The problem is that in order to deploy AI you need a lot of very costly talent (costing as much as the lawyer itself). This will be solved first by AutoML / Auto deploy. I.e. once automl is working, and each professional can create and deploy models, than will see the productivity gains.