Many laws, especially GDPR, can only be interpreted in conjunction with a lot of guidelines (WP29 for example), interpretations by the local Data Protection Authority, decisions by local and European courts, etc.
Given all of this information, I think the bot will be able to formulate and answer. However, the bot first needs to know what information is needed.
If a lawyer has to feed the bot certain specific parts of all of these documents, they might as well write the answer down themselves.
I'm surprised Gemini 1.5 isn't getting more attention. Despite being marginally worse than the leaders, its still solid and you can dump 975,000 (!) tokens into it and still have ~75,000 to play with.
I've been using it lately for microcontoller coding, and I can just dump the whole 500 page MCU reference manual into it before starting, and it gives tailored code for the specific MCU I am using. Total game changer.
Is the resulting (C) code maintainable, unit testable, do you understand it? If your answer is "I'll just ask gemini to explain it", I will laugh sarcastically and then sob for the poor people around the hardware you program for
I haven't had an issue (at least more than what is expected). I am also an EE, not an SWE. I use it for internal test systems and it has saved me tons of time that I would have had to spend combing the reference manual.
As I am sure you know, embedded code often has terrible portability and requires lots of "check the 500 page datasheet" to get stuff working properly.
Given all of this information, I think the bot will be able to formulate and answer. However, the bot first needs to know what information is needed.
If a lawyer has to feed the bot certain specific parts of all of these documents, they might as well write the answer down themselves.