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There is nothing normal about any return-to-office plan. For most, if not all, a return to office means vaccine and mask mandates, regular COVID testing, personal risk versus professional ambition calculations, and/or commuter rituals and requirements shifting weekly in a hybrid model. These factors have led to an alarming amount of attrition and an ensuing frenzy of hiring this year for every corporation, law firm, software company, or service provider in the legal space. The result is a slow, arduous hiring process in the legal industry created by the refusal of some employers, namely law firms, to accept new realities related to the future of work and the motivations of talent in the industry today. Conversely, other employers have turned strife into opportunity and have begun to recalibrate their institutional policies, processes, technologies, and permissions to attract and retain workers.
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AI Needs Its ‘Come the Jesus’ Moment
By Steve Salkin and Brett Burney
It’s time to stop the hype, stop talking up AI as if it’s the next best thing since sliced bread and prove that it’s a useful tool and technology that can actually be used in the actual practice of law.
U.S. Regulators Lift the Curtain on Data Practices with Assessment, Reporting and Audit Requirements
By Alan Friel, David Manek, Sasha Kiosse, David Farber and Colleen M. Yushchak
The assessment and audit requirements of the new generation of state data protection laws will force U.S. companies to move beyond mere window dressing and instead require them to develop fulsome data protection programs.
Artificial Intelligence Redefines Our Defense Against Cyber Threats
By Roy Hadley
The cybersecurity landscape is on the brink of a transformative shift, with predictive analytics and behavioral analysis leading the charge for more resilient and adaptive defenses.
Deep Fake of CFO on Videocall Used to Defraud Company of $25M
By Scott Warren
It appears that hackers are using AI to sift large digital data to identify more convincing approaches for their scams as well as weaknesses in weaknesses in software coding or network security.