Rather than assuming both parties want the same thing from a settlement (money, custody, speed), AI modeling can surface what each person actually prioritizes and where genuine overlap exists. This reveals possibilities for trades that feel fair to both sides—one person getting more flexibility in custody, the other more financial security—rather than simply splitting everything in half.
Interest-based negotiation modeling is a framework where AI helps separating partners move beyond stated positions, such as who keeps the house, toward underlying needs like financial security or stability for children, and then generates options that could satisfy both parties simultaneously. It is rooted in the Harvard Negotiation Project methodology and adapted for AI-assisted dialogue preparation.
Using this model during divorce preparation helps individuals enter mediation or attorney meetings with a clearer sense of what they actually need versus what they think they want, often reducing conflict duration and legal costs substantially.
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