AI in Legal Services: Redefining Trust and the New Economics of Legal Expertise

Let's understand how AI in legal services is changing clients' expectations, what law firms can charge for, and how expertise earns trust.

We've been saying the same thing for a while:

AI won't replace legal expertise. But AI in legal services is changing what clients believe that expertise is worth.

Working with some of the world's leading law firms and professional services organisations, we're seeing the sector caught between three powerful forces:

• Clients expect AI-enabled speed and lower cost
• Firms are still working out how to embed Generative AI for law firms safely into workflows
• The economics of expertise are changing

The firms that win won't necessarily be the ones that adopt AI first or deploy the most tools. They'll be the firms that use AI to protect trust, prove value and rethink what they actually monetise.

The five key tensions reshaping AI in legal services

As AI becomes more deeply embedded across legal workflows, the conversation is shifting beyond adoption alone. Firms are now navigating a series of strategic tensions that are reshaping client expectations, redefining the value of expertise, and changing how legal services are delivered, priced, and differentiated.

The firms that recognize and respond to these shifts will be better positioned to compete in the evolving legal landscape.

1. The expectation gap: Why AI alone is no longer enough

What we're seeing:

Clients have moved beyond curiosity. The question is no longer: "Are you using AI?"

It's: "Where are the efficiency gains, how are you assuring quality, and how does AI create measurable value for my business?"

This shift reflects a broader change in legal AI adoption. Clients increasingly expect the use of AI in legal services to improve outcomes, not simply modernize internal processes.

In-house legal teams are already experimenting with AI themselves. They're seeing documents summarised in seconds, first drafts produced instantly and research accelerated dramatically. Whether every output is perfect is almost beside the point.

The expectation has shifted.

Clients now assume some degree of AI-assisted efficiency should be reflected in cost, speed or service. According to Thomson Reuters, 59% of corporate legal clients want their outside firms to use Generative AI.

ACC and Everlaw research found 43% of in-house counsel expect more value-based billing models and 35% believe AI-driven competition will reduce legal costs.

What CMOs should think about:

Many firms are still talking about AI capability. Clients are increasingly looking for AI outcomes.

The messaging challenge isn't explaining that your firm uses AI. It's demonstrating how AI-powered legal services improve responsiveness, strengthen risk management, accelerate decision-making, and deliver measurable value.

Can you clearly articulate where AI creates better client outcomes, not just faster processes? Because firms that answer that question convincingly won't just differentiate their technology. They'll differentiate their value.

2.The value gap: Efficiency without transformation isn’t value

What we're seeing:

Adoption is rising quickly. Value is not.

Law firms are adopting AI at a remarkable pace, but many are still struggling to translate that momentum into measurable business outcomes.

Thomson Reuters' Future of Professionals report found legal professionals expect AI to free up nearly 240 hours per year, equivalent to approximately $19,000 in value per professional.

The challenge is that time savings alone don't create business value. Unless firms redesign workflows, operating models and pricing structures, AI simply creates efficiency trapped inside the existing billable-hour model.

Many firms have invested heavily in pilots and tools, but far fewer can demonstrate measurable improvements in profitability, client outcomes or matter economics.

The gap between adoption and impact is becoming increasingly visible. Thus, legal technology transformation initiatives begin to stall.

What CMOs should think about:

The firms that stand out over the next three years will be able to tell a credible value story.

Not: "We've deployed AI."

But:

• "Here's how we reduced turnaround time"
• "Here's how we improved consistency"
• "Here's how we delivered better outcomes"

Clients buy outcomes, not technology.

3. The cost paradox: Why AI can lower costs and increase spending

What we're seeing:

• AI is getting cheaper
• AI is getting more expensive

Both statements are true.

The cost of running large language models continues to fall. Stanford's AI Index shows inference costs for GPT-3.5 level performance fell more than 280-fold between late 2022 and late 2024.

At the same time, usage is exploding. As more firms successfully embed AI into workflows, the more tokens, agents and infrastructure they consume.

In other words, while AI becomes cheaper to access, it often becomes more expensive to scale.

We've already seen examples such as Uber reportedly consuming its annual AI budget within four months due to rapid adoption. Gartner forecasted worldwide Generative AI spending to reach $644 billion in 2025, representing year-on-year growth of more than 76%.

Successful adoption doesn't necessarily reduce technology spend. It often changes where that spend sits.

What CMOs should think about:

AI shouldn't be positioned as a cost-saving exercise alone. The bigger opportunity is value creation.

The conversation should move from:

"How much did AI help us save?"

to

"What competitive advantage are we buying through AI?"

4. The trust paradox: Why trust must be visible before its earned

What we're seeing:

Trust has always been the foundation of professional services.

AI doesn't change that. It changes how trust is discovered.

Increasingly, clients are researching firms through AI-powered tools, recommendation engines and conversational search experiences before speaking to a partner.

This shift means that trust is no longer built solely through personal relationships or referrals. It's increasingly shaped by what clients and AI systems can find, understand, and validate online.

At the same time, firms remain understandably cautious about publishing too much expertise publicly. This creates a dilemma: How do you demonstrate authority without giving away the intellectual property that differentiates the firm.

As the use of AI in legal services continues to grow, regulators including the SRA continue to reinforce that firms remain accountable for AI-generated outputs.

Recent hallucination-related cases have only increased focus on governance, transparency and human oversight.

Trust remains a differentiator. Perhaps more than ever.

What CMOs should think about:

The answer isn't publishing less. It's publishing differently by making your expertise easier to discover, verify, and trust.

Firms need enough visible expertise for clients and AI systems to understand what they are credible for. They must create the right mix of content that demonstrates expertise while protecting proprietary knowledge.

That means building layered content strategies where:

• Public thought leadership builds authority and credibility
• Interactive tools help diagnose problems
• Advisory services deliver judgement and outcomes

5. The new economics of expertise: Why judgement is the new premium

What we're seeing:

Historically, expertise was scarce. Clients paid for access.

Today, information is abundant.

With AI in legal services, clients can summarise regulations, explain concepts and generate first-pass advice in seconds.

The monetizable layer is shifting:

• From information to judgement
• From answers to confidence
• From research to risk management

The firms creating the most value are increasingly those that combine technology with human expertise rather than treating them as competing forces.

We're already seeing leading firms make significant investments in proprietary AI capabilities, knowledge systems and workflow transformation.

The goal is not replacing lawyers. It's elevating where lawyers spend their time.

What CMOs should think about:

This shift requires firms to rethink how they position their expertise.

Many legal firms still market knowledge. The opportunity is to market judgement.

Clients rarely pay premium fees for information. They pay for confidence in decisions.

They invest in advisors who can interpret complexity, navigate uncertainty, and help them make better decisions.

Final thought

AI will undoubtedly change how legal services are delivered. What it won't change is the importance of trust.

The firms that thrive won't be those that automate the most. They'll be the firms that use AI to reduce low-value work, strengthen client trust, make expertise easier to discover and create clearer links between legal advice and business outcomes.

In the AI era, trust still wins. But trust has to become visible, verifiable and commercially meaningful.

Is your firm ready for the next era of AI in legal services?

At Altudo, we help professional services firms build AI-ready digital experiences, modernize content and knowledge ecosystems, and create the trust signals needed to stand out in an AI-first world.

Schedule a consultation with our experts to explore how AI, digital experience, and trust-led transformation can help your firm stay ahead.