Corporate Law

Must Read

The Era of the Law Firm Panel is Ending

Posted by Daniel Hayter on June 12, 2026

Law firm panels were built for a different era. Today's GCs need a dynamic portfolio of law firms, ALSPs, AI, and in-house talent to source work strategically.

Must Read

Legal AI’s ROI Mirage

Posted by Axiom Law on June 11, 2026

Legal departments are investing heavily in AI, yet most can't prove its value. Explore the ROI gap revealed in Axiom's 2026 AI report.

Must Read

How Legal Departments Can Prove ROI from AI Implementation

Posted by Chris Frickland on June 5, 2026

How legal departments can measure and prove AI ROI with practical frameworks, key metrics, and strategies for turning efficiency gains into budget impact.

Must Read

What Is Legal Tech? A Guide for In-House Legal Teams

Posted by Axiom Law on May 7, 2026

A clear guide to legal tech for in-house teams—what it is, key tools, benefits, and how to implement it to boost efficiency and reduce costs.

Perspectives

FUD vs. FACTS: The Real Story on Axiom's Pricing

Posted by David McVeigh on April 17, 2026

Think Axiom is expensive? Independent research shows Axiom offers competitive legal talent rates with leading quality and client satisfaction.

Expertise

AI Contract Review and Analysis: What Legal Teams Need to Know

Posted by Axiom Law on April 15, 2026

AI contract review explained: how legal teams use AI to boost speed, accuracy, and scalability, plus what separates successful adoption from failed pilots.

Expertise

How In-House Counsel Should Negotiate SaaS Contracts

Posted by Axiom Law on April 11, 2026

Negotiate SaaS contracts smarter: key clauses, AI risks, liability caps, and strategies in-house counsel need to balance speed, value, and risk.

Perspectives

Continuous Volatility Is the New Normal: Building Corporate Legal Departments for Constant Disruption and Uncertainty

Posted by David McVeigh on April 9, 2026

Corporate legal teams must adapt to constant global disruption by building flexible, cost-efficient resourcing models for evolving risk and demand.