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Results > contract-management: (45)

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Guide
How to Build a CLM Business Case
Friday, September 25, 2026 Summize To get started on successfully building your CLM business case internally, download our guide that will help you understand the key areas to include in your case and the vital metrics that can secure stakeholder buy-in.
Technical Paper
Summize Product Datasheet
Friday, September 25, 2026 Summize Our datasheet will explain how Summize caters to your contract request, review, repository and analytical needs. Download the datasheet, hear from your legal peers and learn how you can improve your contract efficiency by up to 85%.
Case Study
Buyer's Guide to CLM
Friday, September 25, 2026 Summize At the start of your CLM buying journey or looking to switch CLM providers? Download our Buyer's Guide to CLM and make your CLM procurement project that much easier.
White Paper
Is Your CLM Built for Real-World Contract Complexity?
Thursday, September 24, 2026 CobbleStone Software Is your CLM truly built to handle the complexity of modern contracting—or simply automate the basics? Discover how AI-assisted intelligence, governed flexibility, negotiation controls, and stronger data integrity can help legal teams reduce risk, improve oversight, and build a more scalable approach to contract management.
Guide
The 4 Biggest Contract Intelligence Challenges for Enterprise Software
Thursday, August 20, 2026 Pramata Corporation For enterprise software companies—especially the ones that have grown through decades of M&A—contracts have become a patchwork of legacy files, systems, and terms—no one can fully reconcile. As a result, Legal, Sales, Deal Desk, Finance, and Operations struggle to piece together their valuable customer relationships.
Guide
Legal AI, Evaluated: A Practical Guide to Choosing the Right AI for Your Legal Team
Thursday, July 23, 2026 LegalOn Technologies, Inc. Cut through the hype and learn what really matters when evaluating legal AI for your in-house team. This practical guide shares an AI evaluation framework, benchmark insights, and a vendor scorecard to help you make more informed technology decisions with confidence.
White Paper
The 8 Critical Stages of Contract Management Software
Thursday, July 9, 2026 CobbleStone Software Contracts don't fail because of one big mistake—they fail because small issues go unnoticed throughout the lifecycle. Discover the eight critical stages of contract management, the common pitfalls that create risk, delays, and unnecessary costs, and practical ways to build a more efficient, compliant process.
White Paper
Contract Lifecycle Management Glossary
Thursday, June 4, 2026 CobbleStone Software You're considering contract lifecycle management software. But how do you understand all the CLM software jargon? Download this free glossary to find out.
Guide
Agentic AI for Legal Teams: From AI Assistance to Autonomous Legal Execution
Thursday, June 4, 2026 Leah Discover how leading legal departments are moving beyond copilots and chatbots to automate contract management, compliance oversight, governance, obligation tracking, and enterprise risk workflows without sacrificing control.
Research / Report
Legal Tech Vendor Fatigue: Code for Something Worse?
Tuesday, April 28, 2026 mot-r Vendor fatigue isn’t random—it’s structural. This report reveals how ownership incentives drive pricing, product, and support decisions—and what to look for before you sign.
eBook
5 Things You Need to Do Before (Successfully) Implementing a Contract Management System
Thursday, April 23, 2026 Pramata Corporation Avoid costly implementation missteps with five proven tips to ensure your contract management system launches smoothly and successfully. This guide walks you through readiness, user planning, legacy migration, and more—so you can set the right foundation before you even choose a platform.
White Paper
The 4 Pillars of Contract Intelligence for the Agentic Enterprise
Thursday, April 23, 2026 Pramata Corporation This whitepaper explores the four pillars your enterprise needs to power agentic AI for contract management — covering accuracy, scalability, security, and predictability so your AI agents can operate with confidence.