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Posted by vertigoruntime 17 hours ago

Astra for Law(openai.com)
520 points | 611 commentspage 7
smusamashah 15 hours ago|
Astra isn't doing well on bullshit Benchmark https://petergpt.github.io/bullshit-benchmark/viewer/index.n... and is even worse in Legal department.

Qwen 3.8 Max and Opus 4.8 score highest.

ricksunny 6 hours ago||
surprised the word RAG hasn’t come ho in this thread (except for a likely-LLM-generated-and-therefore-downvoted comment).

>with settings, tools, and context

call me crazy, but I think that this kind of suite, which training-uber-alles people generally dismiss as trivially replicable ‘wrapper’ is actually the differentiating factor for LLM adoption today and moreso into the future.

I’m not dismissing the near-all-out impact of training, but from a competitive busines or industry-structure lens, we’re looking at the three or four big players competing their utmost ultimately, if unintentionally, to turn foundation model access into commodity.

To the capabilities-maximalist minded (typical among engineers - my former life so I’m familiar don’t lack guilt in committing that) folks who will say “Oh the foundation model megacorps will just build out any wrapper whenever one of their third party wrapper plays demonstrates enough adoption, my rejoinder:

Apple did not rebuild an Uber-like app and cut Uber out.

We’ll see how this OpenAI legal services industry wrapper plays out, but I suspect 1) the third party legal wrapper plays will run to other foundation models not doing a legal wrapper, and 2) 3rd party wrappers will do a better job of it since it’s their all-out focus, unlike OpenAI’s whose priorities are necessarily more generalist.

Yes, we all remember the breakout startup failure-arguing quote “Google has entered your space.” That worked for several high profile applications. I believe more of those bets died on the vine than broke-out succeeded however, we only remember the biggest ones that persisted.

If legal services AI turns into one of the Mail or Maps-scale applications of the AI industry, while that would be a fair strategic action counter to the thesis I’ve laid out, the thesis itself would still tolerate it. It’s a question of short-fat tail vs mid-to-long-tail application scope & attractiveness. For example, I think it’s clear that coding is one of these short-fat-tail applications, and the low-no code plays are absolutely having their lunch eaten to acqui-hire ‘death’. I just doubt that the same will persistently transpire facing all professional service wrapper plays.

alansaber 2 hours ago|
Agreed. We've basically phased-out the phrase "RAG" for "harness" even though a lot of the discussion is still the data integration rather than agent behaviour (sometimes an MCP or some kind of graph). The argument boils down to "will big company win everything" and the thermodynamics of it tend towards no.
redwood 12 hours ago||
Revealing how they call Harvey and Legora customers instead of partners...
weare138 13 hours ago||
Everyone involved is about to get a swift and thorough introduction to the world corporate contract lawyers. But don't worry, they're extremely sympathetic and understanding when you flub a multi-million dollar corporate contract and will happily refund that money.
alexnewman 15 hours ago||
As a user of ai hooked up to my Gmail I assume I’ve lost all privilege
freejazz 15 hours ago||
Went from AI replacing my job as an attorney, to them begging me to use their tools
guybedo 12 hours ago||
yes, most of the time i use Astra Low already.
jayzalowitz 15 hours ago|
This is really cool.
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