Legal Operations KPIs, Second Edition
Legal Value, Spend, and Performance
Use the power of legal data to measure legal value, control spend, and improve performance. This expanded and updated Second Edition helps legal operations professionals, General Counsel, in-house legal teams, finance partners, and law firm leaders move beyond activity tracking and build metrics that support real decisions.
Book Preview
The book addresses the challenge of turning legal work into a more measurable, strategic part of the business through the use of data analytics. With a clear focus on metrics and KPIs, legal professionals with the tools to not only interpret data but also understand the decisions it supports. This is a comprehensive resource for those looking to improve performance, offering detailed metrics, reporting strategies, best practices, and practical insights that can be applied across the legal profession.
Digital Copy of the Book
Scan QR codes within the book to access enhanced content, additional templates, and join in on conversations. Transform your book into a dynamic resource for achieving operational excellence.
Applause on this accomplishment! Legal Operations KPIs looks like a solid practice piece.
Extremely important reading. I will add it to my 2025 reading list.
We need more of legal ops practical handbooks!
Just ordered on Amazon! Loving the idea, and I am looking forward to implementing that!
If you think about KPI within Legal - THIS IS YOUR book
Seeing Law Firm KPIs finally in Portuguese, adapted to our reality, is outstanding. Brazilian law firms really needed something like this—practical, straightforward, and that truly works day to day. I'm sure it will help many move away from guesswork and toward real management!
This looks great. My goal for 2024 is to be KPI focused and this guide is just what I need.
Love this, Mori! You are King of the KPIs.
This book on Law Firm KPIs by Mori Kabiri could be a game changer for aligning innovation with measurable outcomes. It echoes broader shifts where firms are using data to optimize CLM and beyond, reducing inefficiencies by up to 30% in some cases.
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