u/Heem_is_that_guy

I’m trying to understand how professionals in compliance, legal, and risk teams are currently handling AI-assisted research.

The main issue I keep running into is trust especially when AI provides answers with citations, but the underlying sources can vary in quality.

In real workflows, how do you decide whether an AI-generated answer is reliable enough to act on?

Do you rely on source verification, internal review, or is AI still only used for rough drafting?

I’m not trying to promote anything, just trying to understand how this is handled in practice.

I built an AI that investigates like a court of law m, here's what I learned after 6 months of building

After 6 months of building I launched Deepheem 2 weeks ago.

The idea: lawyers, business analysts, and journalists spend days on research that AI can do in 15 minutes.

What makes it different from ChatGPT:

• Asks 4 clarifying questions before searching anything
• Searches the live web for real sources
• Scores every source 0-100% for credibility
• Generates a full cited report with verdict

The hardest part was not the AI, it was making the credibility scoring feel trustworthy enough for lawyers.

I'm a solo founder from Manchester with no technical background. Built the entire product using AI-assisted development. If I can do it, the barrier to building is lower than ever.

Would love feedback from anyone who does research professionally.

Free to try at deepheem.com — no card needed.

Happy to answer any questions about the build.