Shaping the Future of GenAI-Embedded Services | Execo Edge | Artificial Intelligence
Closing the Contract Value Gap with People, AI, and Better Processes
Hearing about the billions being poured into AI-powered legal technologies intrigued me. LegalTech Hub recently identified more than 500 generative AI tools specifically for legal and contracting tasks. The promise was clear: faster processing, quicker sales cycles, and significant boosts in lawyer productivity.
The ‘DIY SDR’ Price Tag: Hidden Costs Most Leaders Miss
“We need more leads. Let’s just build an SDR team in-house. How hard can it be?” At face value, this seems like a rational move: build internally, control outcomes, reduce costs. After all, outbound remains one of the most proven ways to grow pipeline. But beneath the surface, building a DIY SDR function is also one of the most risky plays a GTM leader can make.
What Is Contract Digitization and Why Does It Matter in M&A?
M&A headlines often spotlight the eye-popping deal values and high-profile company tie-ups, making it easy to forget about the real work that takes place behind the scenes. It’s not surprising, given that the M&A market is continuously growing, with a projected 25% year over year increase. In fact, last January and February showed an increase in US deals kick-offs of 5% and 6%, respectively. It’s an ongoing stream of activity, despite the fluctuations, and sectors like technology drives a huge part of the deal flow.
Why AI Won’t Replace Human Legal Expertise (And How It Can Work Together)
During a talk I gave earlier this year on AI and dispute resolution, a question from the audience stuck with me: "How do you see legal AI tech tools like predictive analytics for litigation being adopted in civil jurisdictions where there’s no doctrine of stare decisis and where the judiciary and many law firms still operate with outdated technology?"
6 Common CLM Implementation Challenges Post-Live (And How to Mitigate Them)
A successful CLM implementation feels like crossing the finish line—but in reality, it’s just the starting point. Even with a smooth rollout, teams often hit unexpected roadblocks like low adoption, workflow hiccups, and process gaps that didn’t show up in testing. The real work kicks in after go-live, with ongoing tweaks, training, and fine-tuning needed to get the most out of the system. While CLM promises streamlined workflows, improved compliance, and reduced risk, even with an exceptional implementation, organizations can expect to encounter common post-go-live challenges that threaten to derail those benefits.