🍦 "Ice cream in aisle 12 is soft again… probably nothing."
That line — buried in email #5 of 6,195 — was the key evidence in a $4.1M lawsuit. AI + mxMCP found it. Keywords found nothing.
@mxhero.bsky.social
@mxhero.bsky.social🍦 "Ice cream in aisle 12 is soft again… probably nothing."
That line — buried in email #5 of 6,195 — was the key evidence in a $4.1M lawsuit. AI + mxMCP found it. Keywords found nothing.
@mxhero.bsky.socialKeyword search: "freezer malfunction" → NOTHING ❌
AI + mxMCP: "When did they first know?" → Full timeline in ~30s ✅
The future of early case assessment is here.
@mxhero.bsky.socialAI + mxHERO's mxMCP scanned 6,000+ emails and found the opposing party knew about a freezer issue 14 MONTHS before claimed — via a casual mention of soft ice cream.
Semantic search wins over keywords.
@mxhero.bsky.socialmxMCP is built for AI.
→ Semantic search across 6,000+ emails
→ Reads attachments
→ Date/sender filtering
→ Self-verifies against source docs
Question in. Evidence out. Seconds, not months.
@mxhero.bsky.socialAI is only as good as its tools.
mxHERO's mxMCP gave Claude Opus what it needed to find the needle in 6,195 emails — uncovering a 14-month gap in a $4.1M case. ⚖️
@mxhero.bsky.socialA law firm's DMS confirmed their guilt in a $3.67M malpractice case. The exculpatory email existed — it just wasn't migrated in 2016.
AI found it. 23/24. Zero false positives.
Full eval 👉 medium.com/@mxhero/the-...
@mxhero.bsky.socialRoutine DMS migrations quietly erase institutional memory. A 2016 migration dropped one scope note. By 2024, it nearly cost a law firm $3.675M.
The email archive remembered. AI retrieved it.
Read the case study: medium.com/@mxhero/the-...
@mxhero.bsky.socialThe question is no longer whether AI can find the critical email in your archive.
The question is how long you wait before asking.
$3.67M case study 👇
medium.com/@mxhero/the-...