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✨ 🫴 Hidden Hand: AI-powered client intake for law firms

Faster intake, less labor, better advocacy.

Hi everyone, I’m Bennett from Hidden Hand.

TLDR: Hidden Hand uses AI to reduce client intake time by 30%, allowing law firms to focus on providing better advocacy for all their clients.

The Problems

There are ~450,000 law firms in the US, many of which are boutique law firms that focus on one practice area, like personal injury or workers’ compensation.

  • Client Intake Bottleneck: The key bottleneck is their client intake process - efficiently identifying suitable clients and onboarding them with contracts, insurance, documents, etc.
  • Importance of Empathy: Lawyers are here to help people. Nobody wants a robot to represent them. Empathy and human connection are crucial to signing and keeping a client.
  • Antiquated Tech, Low-Risk Appetite: Law firms are built on outdated technology, which translates to outdated workflows. Many are hesitant to change systems because of the importance of the human side of law.

AI + Human = Better Advocacy

Hidden Hand provides a hybrid solution that combines the best parts of both automated intake and human-led intake to increase speed without sacrificing human connection.

  • Offload easy tasks to AI: We build customized messaging chatbots and beautiful intake forms for tasks that don’t require human involvement. Don’t worry, we always give clients the ability to talk to a real human. Less labor, more time for what matters.

  • Automated communication: Hidden Hand can automatically follow up with clients to get any missing information via text or email. Messages are automatically connected to any case management software, and everything is kept in one place.

  • Automatic Data Entry: Instead of manually entering information into case management software, we can extract data or documents from conversations, and automatically enter it, saving hours for paralegals. Most importantly, we maintain the security and privacy of these conversations under attorney-client privilege in accordance with the American Bar Association (ABA) guidelines.

Backstory

I’m Bennett, founder of Hidden Hand. My background is in building end-to-end machine learning systems for reliable decision-making.

Sports Betting Fund (250% Returns)

Previously, I had a sports betting fund that earned 250%+ returns each NBA and MLB season for the last few years. I decided to license my algorithms out to a large-cap betting group that is able to move a lot more investments without being limited in the US.

I’m Not a lawyer, but…

Just about everyone in my family is a lawyer (parents, brothers, uncles, cousins). I’ve spent my whole life listening to the marketing and operations of boutique firms.

My expertise in machine learning + boutique firms made this a super clear direction to go down. I might not be a lawyer, but I am the engineer in the family who can help them be more efficient.

Hidden Hand’s Ask

  1. If you work at a boutique firm and know the struggles of client intake, book a demo with us! We want to help save 30% on intake time.
  2. If you know somebody at a boutique firm, share us with them! We want to solve their problems.

Book a demo HERE or request one at https://www.hiddenhand.io/demo!

-BC ✨ 🫴