Great stuff. My favorite genre of writing about AI is seeing how it can be practically applied to non-tech jobs/businesses. Wish we had more of this.
I'm curious about the 60% automation of financial/forensic analysis - what's missing? Is it stuff that's purely blocked by model capabilities, or are there places where scaffolding is likely to bridge the gaps?
Also curious about the workflow - is this more individual, LLM-driven features or agentic workflows? Looked like the former from the product video but there wasn't a ton of UX shown there.
I ask largely because this seems like the sort of thing where you could really start to string these features together in such a way that you start with a description of the case and whatever files you have, and then an agent does its analysis of the docs, spins up action items (get missing docs, confirm that X ambiguous doc is what the AI characterized it as, etc.) and tracks the progress of all of them, leaving your forensic accountant there in a supervisory role, managing and providing expertise.
It feels like that's the way a lot of expert analysis jobs like this are headed. I've been working on the same sort of flow to use agents to manage my business. Started with LLM skills that could be used to handle tasks I used to do myself, and since then I've increasingly been having AI use those skills on its own without me invoking them and chain things together into full blown workflows. Some parts I'm still supervising closely, but others that have been working consistently for a while I now don't really watch unless Claude flags something for me to review on my dashboard.
Too bad dvt deleted their comment calling your comment a low effort and negative, because your point is valid.
Unless OP is using hosted models, especially those with always-on training, that's quite clear cut breaking at least privacy laws, likely more, especially if the court documents are additionally protected.
So that's basically showing the HN how egregiously a number of lawyers, accountants and paralegals "conspire" to break the law in order to process more cases in parallel and earn more money.
I think that's pretty accurate?
If OPs father doesn't want to do it manually they must at least run it locally, or obtain the court permission to share the privileged information with a number of third parties, possibly shoving it into the future corpus of information.
I think OP's being hyperbolic, but defending an idea that is dangerous at worst and immature at best doesn't do much to forward creativity, entrepreneurship, or engineering. Engineers who build products that put people (or their data) in danger are bad engineers. We need to hold one another to a higher standard.
> doesn't do much to forward creativity, entrepreneurship, or engineering
Who are you (or who am I) to decide that? The entire point of a show HN is to be non-judgmental and charitable, otherwise it's just going to turn into a cynical echo-chamber. The famous Dropbox comment is a cautionary tale for a reason.
> Person B: Who are you (or who am I) to decide that? The entire point of a show HN is to be non-judgmental and charitable, otherwise it's just going to turn into a cynical echo-chamber. The famous Dropbox comment is a cautionary tale for a reason.
Where's the breakdown of these stats? What does it mean that 60% `Forensic Analysis` can be automated with AI? Are these per hour? Its also telling that each of the automated percentiles are rounded to the nearest 10%.
Nice. I have a friend who is a young accountant. I have tried to get him to consider AI, but he claims that they tried it and it's not that good. I've tried to get him to understand that AI has improved dramatically in the last few months, not to mention the last few years (their point of reference, I believe).
I know a lot of accountants. One is a chief accounting officer at a medium-sized tech company and she has already replaced about 5 people in her org with AI. She says she sees a lot of low hanging fruit in finance that will be replaced by AI at her company, by her specifically. I know another partner at Big 4 that is going heavy into AI usage as well. The idea that AI isn't good in finance and accounting is a myth.
Interesting how "low hanging fruit" always stops just below the level of the person doing the fruit picking. Check back with her when her own boss replaces her with an AI, and let us know how she feels about it.
First of all accounting as a whole is incredibly broad. The fact you don’t recognise that in your post with nuance shows you have zero clue what you are talking about.
E.g llm’s are useless in tax auditing. How do I know this? My brother is a partner at pwc.
Why is it that every "I built a cool AI tool" author shared on this site can't be bothered to write the article themselves? I'd be more likely to give credence to how great your slop is if you were at least invested enough to write the dang article yourself.
Here is my hot take. AI is going to replace some developers (not all) and the first ones it replaces will be the ones who can't code without it. The developer in this story provided a relationship with a forensic accountant, a few discussions with paralegals, and limited guidance to an agent. The agent did literally everything else, including writing the article!
> Why is it that every "I built a cool AI tool" author shared on this site can't be bothered to write the article themselves?
Because most AI hypers have extremely low standards for any form of text - be it code or prose. If one is to believe code doesn't matter, then why would would prose matter either?
This matter doesn't change the point that there is no value, no business entity, no privacy terms — nothing except a video demo of a file uploader and some LLM output on top of it.
Sure, it can still be on the front page if it's a good post (i.e., gratifies intellectual curiosity) but it can't be a Show HN if users can't play with it.
I'm curious about the 60% automation of financial/forensic analysis - what's missing? Is it stuff that's purely blocked by model capabilities, or are there places where scaffolding is likely to bridge the gaps?
Also curious about the workflow - is this more individual, LLM-driven features or agentic workflows? Looked like the former from the product video but there wasn't a ton of UX shown there.
I ask largely because this seems like the sort of thing where you could really start to string these features together in such a way that you start with a description of the case and whatever files you have, and then an agent does its analysis of the docs, spins up action items (get missing docs, confirm that X ambiguous doc is what the AI characterized it as, etc.) and tracks the progress of all of them, leaving your forensic accountant there in a supervisory role, managing and providing expertise.
It feels like that's the way a lot of expert analysis jobs like this are headed. I've been working on the same sort of flow to use agents to manage my business. Started with LLM skills that could be used to handle tasks I used to do myself, and since then I've increasingly been having AI use those skills on its own without me invoking them and chain things together into full blown workflows. Some parts I'm still supervising closely, but others that have been working consistently for a while I now don't really watch unless Claude flags something for me to review on my dashboard.
submitting private information to LLMs w/no privacy guarantees is probably a crime btw
Unless OP is using hosted models, especially those with always-on training, that's quite clear cut breaking at least privacy laws, likely more, especially if the court documents are additionally protected.
So that's basically showing the HN how egregiously a number of lawyers, accountants and paralegals "conspire" to break the law in order to process more cases in parallel and earn more money.
I think that's pretty accurate?
If OPs father doesn't want to do it manually they must at least run it locally, or obtain the court permission to share the privileged information with a number of third parties, possibly shoving it into the future corpus of information.
But you have the opportunity to get the "Most Popular Plan" — only $4,999 flat (1).
1. https://case-trail.com/#pricing
Who are you (or who am I) to decide that? The entire point of a show HN is to be non-judgmental and charitable, otherwise it's just going to turn into a cynical echo-chamber. The famous Dropbox comment is a cautionary tale for a reason.
> Person A: yo wtf is wrong with you
> Person B: Who are you (or who am I) to decide that? The entire point of a show HN is to be non-judgmental and charitable, otherwise it's just going to turn into a cynical echo-chamber. The famous Dropbox comment is a cautionary tale for a reason.
First of all accounting as a whole is incredibly broad. The fact you don’t recognise that in your post with nuance shows you have zero clue what you are talking about.
E.g llm’s are useless in tax auditing. How do I know this? My brother is a partner at pwc.
Here is my hot take. AI is going to replace some developers (not all) and the first ones it replaces will be the ones who can't code without it. The developer in this story provided a relationship with a forensic accountant, a few discussions with paralegals, and limited guidance to an agent. The agent did literally everything else, including writing the article!
Because most AI hypers have extremely low standards for any form of text - be it code or prose. If one is to believe code doesn't matter, then why would would prose matter either?
1. https://news.ycombinator.com/showhn.html