Account

Sign in to access your account and subscription

Lawyer Padding and Bragging Creates Practical Problems

A sampling of daily headlines is apparently driven by law firms eager to attract lateral partners, to recruit young lawyers, and to please current partners. One wag also recently described this public bragging as a “sedative” to quiet troublesome partners. Does the profession want or even need this kind of publicity? The answer should be no.

8 minute read April 30, 2026 at 11:03 PM
By
Michael L. Cook
Lawyer Padding and Bragging Creates Practical Problems

The following headlines described some lawyers within the past year:

This premium content is locked for Accounting and Financial Planning for Law Firms subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN Accounting and Financial Planning for Law Firms

  • 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.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

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.

June 01, 2026

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.

June 01, 2026