Codebridge’s IT experts share their insights and expertise on software development, custom enterprise solutions, and data-driven business agility.
Most legal AI pilots fail after the demo, and one reason only law firms have: on hourly work, a pilot that succeeds cuts the invoice. How to diagnose yours and restart.
Carriers now condition panel work on AI rules, from line-item disclosure to prompt records and audits. What they require, where they collide with confidentiality, and where to start.
The newest benchmark found AI beating lawyers on legal research accuracy, ChatGPT included. It left out the task that gets lawyers sanctioned. Where a firm should start instead.
Lateral hires bring their conflicts with them. What a candidate can disclose, when the screen must be in place, and why a firm merger closes the fix most partners assume they have.
A firm with a written AI policy still had three lawyers file fabricated citations. The court released the firm and sanctioned the lawyers. What the opinion shows a policy needs.
Courts have approved machine-assisted review since 2012, and a July 2026 decision extended that to generative AI. What that means for a mid-market litigation practice.
Most lawyers use ChatGPT or Claude rather than a legal platform. What those tools do well, what the accuracy research shows, and what Heppner changed about privilege.
Every Harvey alternatives guide is written by a competitor. What sits outside the licence line, what to negotiate, and when an assistant seat is the wrong purchase.
Four products share the name, none publishes a price, and the leading platforms are built for AmLaw100 budgets. What a mid-market firm should shortlist, and how many seats it needs.
