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Need Human Lawyer – when AI for legal work isn't enough

Hacker News

Need Human Lawyer – when AI for legal work isn't enough

This idea came from real life. I was doing fine being my own lawyer but I reached that point where I really needed to cc someone to make my point. There's also the case of when you just get too deep into legal issues and really do need a human with a law degree helping. The idea is anyone can send an email or cc an existing thread to: help@needhumanlawyer.com This will open a request file and reply-all to everyone on the email. Not quite the same as cc perry.mason@famous-firm.com but still, it's a way to escalate. And there are many lawyers willing to do a "contact-card" engagement for free. Meaning once you are paired with them you can cc their real email and give the impression you have a lawyer because you do! The lawyers do this in hopes of getting your future business of course. Looking for feedback on our homepage and the email you get when opening a case. We didn't do your typical landing page but instead wanted to show the concept with lots of example emails. https://needhumanlawyer.com/ For the tech side we are using Cloudflare workers with D1 (sqlite) and R2 (s3 style bucket) and resend for the emails. CF has a great email routing system so the worker gets incoming emails and saves all the data to the bucket under its request id. Also looking for feedback from lawyers! Does the value prop seem right? Thanks!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: email, using, open · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real life · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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