The legal industry is undergoing a structural shift in which traditional manual research methods are increasingly being supplemented by generative AI systems, raising new demands for verification, governance, and digital strategy. Industry data shows that 69% of legal professionals report using
Most contractor risk is self-inflicted. It starts when global freelancers are managed like local temps, with informal agreements, scattered records, and no clear operating model for classification, payments, or data handling. In 2026, that approach is not just inefficient. It attracts regulators,
A single product announcement on February 3, 2026 exposed a fundamental misunderstanding of value in the legal technology sector. When AI company Anthropic unveiled legal plugins for its Claude Cowork application, the reaction was immediate and severe: Thomson Reuters shares fell as much as 18 %
For decades, the contract drafting process has been a notorious bottleneck. Legal teams, buried in manual revisions and administrative tasks, have treated it as a necessary burden rather than a strategic function. This perspective is not just outdated; it’s a critical business risk. Every agreement
Governing AI Risk in the Modern Law Firm Recent studies reveal some sobering statistics for the law sector: some generative artificial intelligence tools fabricate information in up to 82% of the legal queries they’re used in. And this isn’t a minor glitch; not when it can make the difference
The traditional "take-it-or-leave-it" approach to B2B data-sharing agreements has evolved, paving the way for more collaborative and flexible partnerships. For years, smaller enterprises have been forced into one-sided contracts by dominant players, signing away valuable data rights with little to