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Federal lawyers seek to shield information in Nijjar murder case on security grounds
Canada's Justice Department seeks to protect sensitive intelligence linked to four accused in Nijjar's 2023 murder, citing risks to international relations and national security.
- On Dec. 24, 2025 the Attorney General of Canada asked the Federal Court to bar disclosure in the Nijjar murder prosecution under the Canada Evidence Act, a report published February 19, 2026 shows.
- When information comes from foreign partners or undercover sources, the legal advisers invoke `national security privilege` to prevent disclosure of means, methods or personnel, University of Calgary law professor Michael Nesbitt explained.
- The four suspects—Amandeep Singh, Karanpreet Singh, Karan Brar, and Kamalpreet Singh—were arrested in May 2024 and charged with murder and conspiracy, after Nijjar was shot on June 18, 2023.
- The matter remains in pretrial and is under a publication ban, defence lawyers may challenge the secrecy bid, and a judge must confirm privilege while Ottawa expelled Indian diplomats after 2023 claims.
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Federal lawyers seek to shield information in Nijjar murder case on security grounds
The federal attorney general is looking to shield some information from disclosure on national security grounds in the trial of four men accused of killing Canadian Sikh activist Hardeep Singh Nijjar.
·Canada
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Federal lawyers seek to shield information in Nijjar murder case on security grounds – Energeticcity.ca
OTTAWA — The federal attorney general is looking to shield some information from disclosure on national security grounds in the trial of four men accused of killing Canadian Sikh activist Hardeep Singh Nijjar. Nijjar, an advocate for an independent Sikh homeland and president of the Guru Nanak Sikh Gurdwara, was shot dead in his pickup truck in June 2023 while leaving the Surrey, B.C., temple’s parking lot. In May 2024, four Indian nationals wer…
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Total News Sources18
Leaning Left13Leaning Right0Center2Last UpdatedBias Distribution87% Left
Bias Distribution
- 87% of the sources lean Left
87% Left
L 87%
13%
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