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TL;DR

  • Accenture and Cognizant have lost more than half their market value combined, roughly $100 billion, over the past two years as investors price in AI commoditizing the kind of expertise these firms sell.
  • KPMG is cutting 4% of its US advisory staff, and clients are pulling tech-assistance budgets to invest in AI directly instead of paying a firm to

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TL;DR

  • Firms keep buying AI tools that end up barely used. The recurring pattern in accounting and legal communities: tools that add a verification step instead of removing one, or clear procurement and never enter the daily workflow.
  • At the same time, nearly two-thirds of law firm professionals say their pricing hasn’t changed despite AI-driven efficiency, even as clients expect

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TL;DR

AI is projected to automate up to 74% of the tasks law firms currently bill by the hour, putting roughly $27,000 of annual per-lawyer revenue at risk, while accountants using AI already support 55% more clients per week without cutting their own billable hours. Firms that have already shifted to fixed-fee or value-based pricing report 30 to 50% higher…

TL;DR

  • Legal AI adoption is now widespread, but trust hasn’t caught up: only about 22% of legal AI users report high trust in the output, and just 23% of in-house lawyers use AI daily (Vaquill AI / 2026 GenAI in Legal Benchmarking Report via Legaltech News; Bloomberg Law State of Practice 2026).
  • Clients are raising the bar faster than firms

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TL;DR

AI vendor tools are now part of the attack surface, not just a source of misuse. Before adopting or renewing with any AI vendor, ask where the tool comes from, what it can do without human approval, where credentials live, what third-party pieces are unreviewed, whether its output could be faked, and what happens if it acts outside its…

By Scott Samborn, Aspen Management GroupTopics: AI governance, professional services firms, law firm AI policy, AI risk management, shadow AI

Most professional services firms think their AI risk begins and ends with whether the tools work.

It doesn’t.

The real risk is simpler and more immediate: nobody has defined who is responsible when the tools get something wrong.

According to…

TL;DR

Many boutique advisory firms assign one motivated person to “own AI,” but that rarely creates durable change. AI adoption works better when a leader sponsors the effort, a workflow owner is accountable for implementation, and success is tied to business outcomes instead of general experimentation.

The Problem With the AI Champion Model

The AI champion model is appealing because…

Many firms say, “We tried an AI project and it didn’t work.”

In most cases, the problem is not the AI itself. The problem is that new technology was dropped onto unclear workflows, fuzzy ownership, and messy data. When the process is weak, AI just makes the confusion faster.

Why “AI project” is a misleading label

When leaders call something…

Aspen Management Group  |  Practical AI for Law Firms  |  7/15/2026

When managing partners at boutique law firms hear “AI adoption,” the first question is often some version of: who is going to lose their job?

This is the wrong question. Not because the concern is unreasonable – it is not – but because it points attention at the wrong…