ConnectLMT is an AI mediator for the space between a hard conversation and a lawyer's office. It de-escalates a message before it's sent, mediates a live exchange neutrally, and produces a structured, fact-checked case summary when a matter needs to move to a professional.
Not a tool that helps you win the argument. A mediator that holds both sides.
Most AI writing tools optimize for one user: help me sound better, help me win. ConnectLMT holds both parties' intent and the full shared history at once. It isn't on anyone's side, and it stays that way for the life of the conversation, not just for a single message.
Every part of ConnectLMT is built around three things a hard conversation is usually missing.
Messages get revised before they're sent, so intent lands the way it was meant to, not the way frustration wrote it.
Grounded in evidence-based technique, including the Gottman method for relationship conflict, so responses read as understanding, not scripted.
A live, neutral mediator in the shared channel, watching for escalation and reframing before things go too far.
De-escalate before a maintenance request becomes a dispute.
Tenants & Landlords →Work it out directly, with a neutral party in the room.
Coworkers →Say what needs to be said without saying it the wrong way.
Neighbors →ConnectLMT tracks the full history, not just the last message.
Couples →Slow it down and reframe before it becomes unrecoverable.
Family →Tell us what's going on. Early access starts with a conversation.
Join Early Access →A fixed, predictable pipeline, not an open-ended chat. Predictability is what makes neutrality trustworthy.
Write what you actually want to say. The AI de-escalates the tone before you send it.
The AI mediates the live exchange neutrally, holding both sides' intent and the full history.
ConnectLMT reframes the message or suggests a cooling-off period before things escalate.
A structured, fact-checked case summary is handed off cleanly to HR, a therapist, a mediator, or a lawyer.
Join early access and be among the first to use ConnectLMT.