DanielSantos
I would also add since insurance companies don't want to insure the transportation of batteries in container ships, it makes it difficult for Toyota to produce electric cars in all regions, it would mean they would always need to have a battery factory nearby. https://toyotatimes.jp/en/toyota_news/1055_1.html#anchorTitl...
For rewriting contracts keep in mind that you don't have to actually use the LLM to generate the text completely. It is helpful if you can feed all the contracts of that law firm into a vector db and help them find the right clause from previous contracts. Then you can add the LLM to rewrite the template based on what was found in the vector db.
Many lawyers still just use folders to organize their files.
If your focus is narrow enough the vanilla gpt can still provide good enough results. We narrow down the scope for the gpt and ask it to answer binary questions. With that we get good results.
Your approach is better for supporting broader questions. We support that as well and there the results aren’t as good.
To answer some of your questions:
- contract review works very well for high volume low risk contract types . Think slas, SaaS… these are contracts comercial legal teams need to review for compliance reasons but hate it.
- it’s less good for custom contracts
- what law firms would benefit from is just natural language search on their own contracts.
- it also works well for due diligence. Normally lawyers can’t review all contracts a company has. With a contract review tool they can extract all the key data/risks
- LLM doesn’t need to provide advice. LLM can just identify if x or y is in the contract. This improving the process of review.
- context windows keep increasing but you don’t need to send the whole contract to the LLM . You can just identify the right paragraphs and send that.
- things changes a lot in the past year. It would cost us $2 to review a contract now it’s $0.2 . Responses are more accurate and faster
- I don’t do contract generation but have explored this. I think the biggest benefit isn’t generating the whole contract but to help the lawyer rewrite a clause for a specific need. The standard CLM already have contract templates that can be easily filled in. However after the template is filled the lawyer needs to add one or two clauses . Having a model trained on the companies documents would be enough.
Hope this helps
Also helped lawyers looking for a CLM, and they rejected something if it caused any inconvenience.
We use open ai but they only get segments of a contract. Not the full one and can’t connect them.
You get the review via email and after you can delete the document and keep the review.
[1] legalreview.ai
If you want to share experience feel free to reach out [1] legalreview.ai
The legal liability is an issue in several countries but contract generation can also be. If you are providing whatever is defined as legal services and are not a law firm, you will have issues.
[1]legalreview.ai
Google photos only has the low quality photos.
So I pay for dropbox. The dropbox app backs up the photos and the synology fetches them from dropbox.
Tesla factory looks a bit slow, I guess because it’s new.
Many steps are missing, like assembling doors/ hood before oaint shop. Interiors assembly also missing. I assume these are the more proprietary things from Tesla. What they showed are the common processes/tools across many manufacturers.
They had too many cars parked inside the factory, normally that means defects that need to be fixed.