AI Alimony Simulator Launches 'Evidence Validity Checker': AI Ranks Evidence Effectiveness from A to D for Alimony Claims

The AI Alimony Simulator has released a new tool that allows users to check the effectiveness of their evidence for alimony claims.
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Mycat Inc. (Headquarters: Meguro-ku, Tokyo) announced on April 14, 2026, the launch of the "Evidence Validity Checker" for its AI alimony simulation service, "Isharyo AI" (https://isharyo.xyz). This new feature allows users to determine the effectiveness of their evidence in alimony claims, ranked on a scale from A to D.

Tool URL: https://isharyo.xyz/tools/evidence-checker

Background

When considering an alimony claim, the first hurdle is determining whether one's evidence is sufficient. According to judicial statistics from the courts, there are over 60,000 new domestic mediation and adjudication cases related to divorce annually (Source: Supreme Court of Japan, "2022 Annual Judicial Statistics"), and many parties struggle with collecting and evaluating evidence.

Questions like "Does a LINE screenshot count as evidence?", "Is recording audio illegal?", or "Can a hotel receipt alone prove infidelity?" are common. While fragmented information exists online, there has been no systematic way for individuals to check how these apply to their specific cases.

While "Isharyo AI" already provides alimony estimation, the Evidence Validity Checker was developed to answer the next logical question: "I know the potential amount, but can I actually make a claim with this evidence?"

Tool Features

Users do not need to upload actual evidence files. Simply selecting the types of evidence held provides an immediate assessment.

Information Input

First, select the type of alimony claim:

  • Infidelity (Cheating/Adultery)
  • Domestic Violence/Emotional Abuse
  • Malicious Abandonment
  • Other grounds for marital breakdown

Next, select the evidence held via checkboxes (multiple selections allowed):

  • Messages: LINE/Email/SNS screenshots, saved chat data
  • Photos/Videos: Couple photos, hotel entry/exit photos, injury photos
  • Audio/Recordings: Conversation recordings, phone call recordings
  • Documents: Written oaths, letters, diaries
  • Third-party records: Medical certificates, counselor records, detective reports
  • Financial records: Credit card statements, hotel receipts, gift purchase history
  • Location data: GPS logs, transit IC card history, ETC toll history

AI Assessment Results

Based on the combination of evidence, the AI generates:

Overall Validity Rank

  • Rank A: Contains evidence with strong independent probative value. Highly effective for claims.
  • Rank B: Certain probative value expected by combining multiple pieces of evidence. Effectiveness can be increased with supplementary evidence.
  • Rank C: Primarily indirect evidence. Limited probative value on its own, but potentially meaningful when combined with other evidence.
  • Rank D: Insufficient probative value with the current selection. Further evidence collection is recommended.

Individual Evidence Evaluation

The tool provides specific conditions for each selected piece of evidence to be effective (e.g., for LINE screenshots: "date and time must be visible," "sender account must be identifiable," "context must be preserved").

Advice on Evidence Preservation

The tool provides guidance on how to properly preserve evidence, such as how to take screenshots, store audio files, and keep original documents.

Intended Use Cases

1. Self-Preparation Before Consulting a Lawyer
Organizing evidence beforehand is essential for a productive initial consultation. Using this tool allows users to ask specific questions about what is missing.

2. Prioritizing Evidence Collection
Before panicking, users can check their current evidence. If ranked D, the AI provides a priority list of additional evidence to collect.

3. Preparation for Mediation or Litigation
Useful as a final check to ensure evidence is comprehensive before proceeding to legal action.

Future Developments

Future updates will include a simulation feature to show how adding specific evidence changes the validity rank. We also plan to integrate more closely with the alimony estimator to provide more practical insights, such as "With this level of evidence, the estimated alimony range is X."

Service Overview

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