<b><i>BREAKING NEWS</b></i> <br> Chicago's Johnson & Bell First U.S. Firm Publicly Named in Data Security Class Action
In the first public data security class action complaint against a U.S. law firm, Chicago-based Johnson & Bell was named in a lawsuit that says the firm failed to protect confidential client information.
19 minute read December 13, 2016 at 02:25 PMBy
Roy Strom In the first public data security class action complaint against a U.S. law firm, Chicago-based Johnson & Bell was named in a lawsuit that says the firm failed to protect confidential client information.
This premium content is locked for Cybersecurity Law & Strategy subscribers only
ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN Cybersecurity Law & Strategy
- Stay current on the latest information, rulings, regulations, and trends
- Includes practical, must-have information on copyrights, royalties, AI, and more
- Tap into expert guidance from top entertainment lawyers and experts
Already have an account? Sign In Now
For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.
Continue Reading
Despite widespread investment into AI across the legal industry, just a small group of law firms are consistently realizing measurable returns in operational speed, financial visibility and revenue performance, according to a new report from Law.com and legal industry technology provider Elite.
Most firms are aiming their newest tools at the work they already do — pouring their most powerful technology into running the same tasks a little faster. But when everyone automates the same tasks at once, no one pulls ahead. That reaches the future a little faster while leaving a firm’s largest opportunity untouched — and that opportunity isn’t doing more of the existing work, but transforming how the high-value work gets done.
AI is becoming both an accelerant and a distraction for cybersecurity. In many respects, AI is acting as a stress test for existing security operations by exposing how difficult many organizations still find it to enforce basic controls consistently at scale.
Artificial intelligence is rapidly embedding itself into legal workflows, but much of the conversation treats all use cases as if they carry the same level of risk, even if they do not. The more useful question is not whether AI works, but where it can be safely applied and where it cannot.
