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Billionaire Frank Stronach’s sex assault trial delayed as defence deals with new info
The defence requested more time to review six new videotaped statements amid 12 charges against Stronach involving seven complainants, delaying the trial into March.
- On Tuesday, the Toronto sexual-assault trial of Frank Stronach was delayed after defence lawyer Leora Shemesh asked for extra time to review voluminous new disclosure before its planned start.
- Shemesh asked to return Thursday for an update, and the court found this request reasonable, delaying the trial to review new disclosure materials.
- Facing 12 charges, the 93-year-old defendant has denied all allegations and moved from a jury trial to a judge-alone trial with the Crown's consent.
- The court set a near-term Thursday return, and Malloy said the delay will push the trial into March, beyond the original Feb. 27 schedule.
- Under Canadian law, there is no statute of limitations for indictable offences, enabling prosecution of allegations from the 1970s; Peel regional police charged 18 offences involving 13 complainants in 2024, with a separate trial in Newmarket later this year.
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21 Articles
21 Articles
The defense of the 93-year-old has asked the Canadian court for a postponement to review new documents. Stronach is charged with charges of abuse that go back to the 1970s.
·Vienna, Austria
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Inside Halton+4 Reposted by 4 other sources
Frank Stronach’s sexual assault trial timeline and key allegations in Toronto and Newmarket
Frank Stronach was charged with sexual assault in 2024 and is now facing two separate trials, which are still before the courts.
·Halton Hills, Canada
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Billionaire Frank Stronach’s sex assault trial delayed as defence deals with new info
The Toronto sexual assault trial of Canadian auto parts magnate Frank Stronach was delayed Tuesday as his lawyer requested more time to handle a recent influx of materials related to the case.
·Canada
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Coverage Details
Total News Sources21
Leaning Left10Leaning Right2Center4Last UpdatedBias Distribution63% Left
Bias Distribution
- 63% of the sources lean Left
63% Left
L 63%
C 25%
12%
Factuality
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