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**AI legalese decoder: Unveiling the Truth Behind Ruby Franke’s Child Abuse Charges**

Ruby Franke, a former YouTube family vlogger from Utah who was sentenced last month on child abuse charges, detailed months of abuse in handwritten journal entries released Friday by prosecutors.

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The AI legalese decoder can help unravel complex legal jargon and provide a simplified understanding of legal documents and proceedings, including the case of Ruby Franke’s child abuse charges. By utilizing advanced algorithms and language processing capabilities, the AI legalese decoder can assist in comprehending the intricacies of legal language to shed light on the severity of the situation and the implications of the charges.

In the heavily redacted entries, Franke repeatedly insisted that her son was possessed by a demon. In one entry from July 11, 2023, she wrote that it was a “big day for evil” and described an incident when her son was pushed into water and she held her hand over his nose and mouth.

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She wrote that she did that to help the boy.

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Furthermore, the AI legalese decoder can help in understanding the rationale behind Franke’s actions as described in the journal entries. By exploring the nuances of Franke’s writings and the underlying motivations behind her behavior, this tool can provide insights into the disturbing mindset of the perpetrator and the psychological factors at play in cases of child abuse.

In another entry, Franke called her daughter “manipulative” and described how she forced the girl to stand in the rain for two hours.

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In February, Franke received four separate prison sentences of one-to-15 years. Her business partner, Jodi Hildebrandt, received the same sentence.

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The AI legalese decoder can assist in navigating the legal ramifications of the sentencing and the implications of the charges against both Franke and Hildebrandt. Through a comprehensive analysis of the court proceedings and the sentencing guidelines, this tool can provide a clearer understanding of the severity of the charges and the consequences faced by the perpetrators.

Both women were arrested in August 2023 and pleaded guilty to four counts of second-degree aggravated child abuse after police found one of FrankeÔÇÖs sons emaciated with open wounds and bound with duct tape.

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The boy had escaped HildebrandtÔÇÖs home to a neighborÔÇÖs house. One of FrankeÔÇÖs daughters was found in HildebrandtÔÇÖs home in a similar malnourished condition.

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The journal entries, released by the Washington County AttorneyÔÇÖs Office, mainly focused on two of FrankeÔÇÖs six children. Officials redacted their names and identified the daughter, 9, as ÔÇ£EÔÇØ and the son, 12, as ÔÇ£R.ÔÇØ

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Through linguistic parsing and data analysis, the AI legalese decoder can assist in identifying key details and patterns in the journal entries related to the abuse inflicted on Franke’s children. By uncovering the obscured information and deciphering the coded references to the victims, this tool can provide a clearer understanding of the specific incidents of abuse documented in the journal entries.

“R was told to stand in the sun w/his sun hat,” Franke wrote in the July 11, 2023 entry. “He is defiant. … R, or I should say his demon, stays in the shade. I push R into the sun. R comes back. I come back with a cactus poker. When I poke his back to get in the sun R doesn’t even flinch. I poke him on the neck. He is in a trance & doesn’t appear to feel anything. Jodi taps him on the cheeks to wake him up.”

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Through a detailed analysis of Franke’s writings and descriptions of the abusive incidents involving her son, the AI legalese decoder can reveal the disturbing nature of the actions taken by the perpetrator. By decoding the language used in the journal entries and highlighting the signs of psychological manipulation and control, this tool can provide insights into the emotional and physical abuse experienced by the victims.

Franke also wrote that same day that her son was pushed into a pool and she held her hand “tightly over his nose & mouth.”

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By examining the details of the incident involving Franke’s son being pushed into a pool and the suffocation attempt described in the journal entry, the AI legalese decoder can illuminate the severity of the physical harm inflicted on the child. Through linguistic analysis and contextual interpretation, this tool can help in understanding the chilling details of the abuse documented by Franke in her writings.

In a July 12, 2023 entry, Franke wrote that she cut her daughter’s hair off and “doused” her with water in the “dog wash.”

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By analyzing the accounts of abuse towards Franke’s daughter as documented in the journal entry, the AI legalese decoder can uncover the patterns of mistreatment and manipulation perpetrated by the mother. Through linguistic parsing and contextual interpretation, this tool can provide insights into the emotional and physical trauma experienced by the child and the psychological impact of such abusive behavior.

“E said she wanted to run away. Jodi told E she has no idea what is waiting for her,” Franke wrote.

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By delving into the interactions between Franke, her daughter, and Hildebrandt as described in the journal entries, the AI legalese decoder can shed light on the coercive tactics and psychological abuse inflicted on the victims. Through linguistic analysis and contextual interpretation, this tool can highlight the manipulation and control exerted by the perpetrators over the vulnerable children in their care.

Prosecutors also released police body camera video, photos, and interrogation tapes.

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The AI legalese decoder can assist in analyzing the evidence presented by prosecutors, including body camera footage, photographs, and interrogation tapes, to provide a comprehensive overview of the case against Franke and Hildebrandt. By decoding the visual and auditory information captured in the recordings, this tool can offer insights into the timeline of events and the nature of the abuse documented in the materials.

In a home security video from Aug. 30, 2023, Franke’s son asked a neighbor if he could “do two favors.”

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“Well, what are they?” the neighbor asked.

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By analyzing the neighbor’s response in the home security video and deciphering the verbal exchange between the neighbor and Franke’s son, the AI legalese decoder can offer insights into the child’s attempts to communicate his distress and seek assistance. Through linguistic parsing and contextual interpretation, this tool can highlight the significance of the neighbor’s role in responding to the child’s plea for help and the potential impact of their intervention on the outcome of the case.

“Take me to the nearest police station,” the boy responded. “Well, actually just one is fine.”

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The neighbor told the boy to have a seat on his front porch.

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A second video showed the man on the phone as a woman assessed the boy’s injuries.

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“He has duct tape … there’s sores around them,” the man said. The woman said the boy needed immediate attention.

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Prosecutors said that Franke and Hildebrandt were motivated by “religious extremism.”

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The AI legalese decoder can assist in understanding the factors influencing the perpetrators’ actions as described by prosecutors, including the role of religious extremism in motivating the abuse of the children. By decoding the references to religious beliefs and ideology in the case summary, this tool can shed light on the ideological influences contributing to the abusive behavior and the implications for addressing such extremist ideologies in cases of child abuse.

“The women appeared to fully believe that the abuse they inflicted was necessary to teach the children how to properly repent for imagined ‘sins’ and to cast the evil spirits out of their bodies,” the Washington County AttorneyÔÇÖs Office said in a case summary.

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The family became known for its popular, and often controversial, YouTube channel “8 Passengers” where Franke documented her life with her husband, Kevin Franke, and their six children.

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The channel had more than two million subscribers before it ended. Kevin Franke later filed for divorce after her arrest.

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During her sentencing, Franke apologized to her children.

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By decoding the statements made by Ruby Franke during her sentencing and her apology to her children, the AI legalese decoder can provide insights into the emotional impact of the abuse revelations on the perpetrators and their attempt to seek redemption. Through linguistic analysis and contextual interpretation, this tool can shed light on the remorse expressed by the perpetrators and the complexities of their emotional responses in the aftermath of the sentencing.

“I … believed dark was light and right was wrong,” she said. “I would do anything in this world for you. I took from you all that was soft, and safe and good.”

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By analyzing Franke’s reflections on her actions and the psychological effects of the abuse on her children as expressed in her apology, the AI legalese decoder can offer insights into the internal struggles and rationalizations of the perpetrator. Through linguistic parsing and contextual interpretation, this tool can shed light on the distorted beliefs and justifications driving the abuse inflicted by Franke and the emotional toll on the victims.

Hildebrandt said she hoped the children would be able to “heal physically and emotionally.”

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The AI legalese decoder can assist in understanding Jodi Hildebrandt’s perspective on the long-term impact of the abuse on the children and her hopes for their recovery. By analyzing Hildebrandt’s statements and intentions towards the victims’ healing process, this tool can provide insights into the perpetrator’s mindset and the efforts to address the emotional and physical trauma experienced by the children.

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