"Alimony AI" Releases a Type-Specific Simulator for Divorce Alimony — A Tool for Calculating Estimated Amounts for 4 Types: Infidelity, DV, Moral Harassment, and Malicious Abandonment

Mycat Inc. (Headquarters: Meguro-ku, Tokyo) has newly launched a type-specific simulator for divorce alimony on its AI alimony simulation service, "Alimony AI" (https://isharyo.xyz).

Tool URL: https://isharyo.xyz/tools/type-simulator

What is the Type-Specific Simulator?

While the conventional Alimony AI simulated divorce alimony in a single batch, the factors considered differ greatly depending on the cause of the divorce. This tool is a simulator that divides the causes of divorce into four types, providing optimized input fields and calculation logic for each.

The 4 Supported Types and Their Input Fields

1. Infidelity (Cheating/Affair) Simulator

Input Fields:

• Marriage duration (years)
• Presence and number of children
• Duration of infidelity (from discovery to the present, or the period the infidelity occurred)
• Nature of the infidelity (e.g., temporary/continuous/led to cohabitation)
• How the infidelity was discovered
• Impact on the marital relationship (led to divorce/separated/marriage continuing)

Calculation Features: The calculation logic differs between cases leading to divorce and those where the marriage continues. In cases leading to divorce, the estimated amount tends to be higher, while it is relatively lower if the marriage continues.

2. DV (Domestic Violence) Simulator

Input Fields:

• Nature of violence (physical violence/throwing or breaking objects/financial DV/sexual DV) — Multiple selections possible
• Duration of DV (approximate period from the first to the last incident)
• Severity of harm (presence of hospital visits/hospitalization/lasting injuries)
• Presence of a medical certificate
• Whether police were consulted or a report was filed
• Experience with filing for a protection order

Calculation Features: The presence of physical violence, the severity of the harm, and the existence of evidence (medical certificates, police records) significantly affect the estimated amount.

3. Moral Harassment Simulator

Input Fields:

• Content of mental distress (verbal abuse/neglect and indifference/excessive control/character assassination) — Multiple selections possible
• Duration of the harassment
• Types of evidence (LINE or email records/audio recordings/diaries/third-party testimony) — Multiple selections possible
• Presence of hospital visits (to a psychosomatic or psychiatric clinic)
• Presence of a medical certificate (for depression, adjustment disorder, etc.)

Calculation Features: For moral harassment, the presence of evidence has a particularly large impact on recognition. The reliability of the estimated amount varies according to the type and amount of evidence, and the tool displays both an "estimated amount with sufficient evidence" and an "estimated amount with insufficient evidence."

4. Malicious Abandonment Simulator

Input Fields:

• Duration of non-payment of living expenses (months)
• Degree of non-payment (complete non-payment/partial payment/reduced payment)
• Circumstances of separation (partner left unilaterally/after discussion/you left)
• Duration of separation
• Degree of financial impact (resulted in financial hardship/required borrowing money/no significant impact)

Calculation Features: The duration and degree of non-payment of living expenses are the central factors. Since the range of recognized amounts for malicious abandonment is wider compared to other types, the estimate is displayed as a range.

Output Content of Each Simulator

The following diagnostic results are displayed for all 4 types:

• Estimated Amount Guideline: Displayed as a range, e.g., "X yen to Y yen"
• Weighting of Influencing Factors: A bar graph visualizing how much each input factor affects the estimated amount
• Explanation of Tendencies: Individual feedback based on input, such as "This factor tends to increase/decrease the estimated amount"
• Organizational Checklist for Expert Consultation...