How legal AI strategies can catch up with legal AI adoption

Key Takeaways

• Legal AI adoption is outpacing strategy, with most firms using AI but lacking clear governance and guardrails.
• Shadow AI highlights gaps in legal AI governance, risking data security, compliance, and the quality of legal advice.
• Legal teams need a clear AI strategy, plus approved platforms that meet strict security, accuracy, and compliance standards.
• DeepL's Language AI suite gives legal teams a secure, customizable foundation for translation, writing, and communication across every matter and market.

As lawyers, we don’t usually aspire to be rapid tech adopters. When it comes to new technologies, it’s usually our role to point out the risks, control unauthorized use, and urge organizations to consider consequences before ploughing ahead.

Legal AI adoption is moving faster than legal AI strategy

When it comes to AI, however, something very different is playing out in our industry. The last year has seen a rapid transformation in the way that we do legal work. 

In 2025, DeepL surveyed 1,000 U.S. legal professionals. Here’s what they told us:

• 77% told us their organizations increased their AI spending in the previous year. 
• 96% are now using AI at work.
• 47% described AI as an essential. 

Those surveyed included lawyers from established firms, in-house legal counsel, and public-sector teams. We found the pace of AI adoption accelerating across all of them.

How shadow AI exposes gaps in legal AI governance

Far from proceeding cautiously or hitting the brakes, the legal sector has become a test case for rapid AI-driven change. Here’s what AI is already doing:

• Shifting assumptions
• Accelerating productivity 
• Re-imagining workflows 
• Re-engineering business models

Perhaps surprisingly, it’s also become a case study for how tempting it is to start sidestepping guidelines and compromising compliance once such transformations take hold. 

For many of us in the profession, the DeepL survey’s most striking finding might be that 71% of legal professionals admit to using AI tools without formal approval. Half of those doing so say they use those tools not just now and then, but frequently.

This rapid spread of shadow AI feels like a shock given the importance of security, privacy, and compliance in legal work. It’s certainly not a concern that’s confined to the U.S. 

In my conversations with leading global law firms, I find they raise the same issues again and again. At a London roundtable organized by The Lawyer magazine, guests spoke about how their colleagues needed to “realize what they’re actually interacting with when they interact with AI.” 

There was a common consensus. Safeguards were lacking, and unsanctioned AI use didn’t just risk data breaches but undermined the quality of legal advice. 

When AI generates hallucinations in contracts or legal arguments, it can swiftly undermine an entire firm’s credibility.

Why legal teams need strategy, not a slowdown

The response to such concerns can’t be to reverse the transformation that’s swept across the legal profession. The real issue is that AI strategy hasn’t moved fast enough to keep up.

The best solution is to fix that with a clear, comprehensive AI strategy. When done well, a legal AI strategy enables teams to achieve real benefits:

• Integrate AI effectively into legal team workflows
• Elevate their expertise and credibility rather than undermine it
• Turn breakneck AI adoption into an AI strategy with credible compliance, real goals, and a real return on investment (ROI)

To realize those benefits, teams need approved AI platforms that match their standards for security, accuracy, and compliance.

What an effective legal AI strategy requires from approved platforms

An effective legal AI strategy isn’t only about what tools you approve. It’s about understanding why lawyers turn to unsanctioned AI in the first place and what they actually need from trusted platforms.

Why lawyers turn to unauthorized AI tools

Building a more effective AI strategy starts with acknowledging where the current disconnect comes from. 

In our survey, the most common reasons for using unauthorized AI tools were pressure to deliver work faster and a lack of functionality among approved AI tools. 

Those pressures often come from clients demanding greater efficiencies: 35% of legal professionals cite pressure to deliver work faster as the reason for using shadow AI. 

But pressure can also come from senior leadership navigating a transformation of business models and client relationships. In fact, 30% of respondents say they’ve used unauthorized tools that their managers or senior colleagues recommended.

One of the findings that stood out to me in our survey is that one-third of legal organizations are already considering shifting to fixed-fee or value-based billing as a result of AI. Just as many have already revised their internal cost assumptions. Over 40% say their teams are now delivering more work with the same headcount. 

Once teams have locked those gains into strategies and client expectations, turning back the clock becomes impractical and uncompetitive.

What legal teams need from approved AI platforms

What organizations need are approved tools that can deliver the compliance, quality, and security they need. Meanwhile, those tools must deliver the gains that they and their clients count on.

Once we acknowledge that AI adoption is as essential as legal professionals tell us it is, the focus shifts to finding a better strategy for that adoption. Inviting employees to explore the AI landscape for themselves sounds progressive and innovative, but it’s fundamentally flawed as an approach. 

What legal professionals need is clear guidance and direction. Leaders of firms and in-house teams need to direct their people toward AI tools that meet their security, accuracy, and compliance requirements. 

Even better, they need to choose AI partners that understand those requirements and continue to deliver innovative new solutions that align with them.

How DeepL supports secure, compliant legal AI at scale

This is where DeepL comes in. Legal teams don’t just need AI that feels innovative; they need AI that solves real language problems without creating new risks. 

We design DeepL’s Language AI platform to give firms a single, approved foundation for translation and writing that meets legal-grade standards for security, accuracy, and governance.

Why Language AI is central to legal work

We work with a lot of legal teams because language is one of the most valuable AI applications for them. 

In fact, 85% of the legal professionals we surveyed say that translation issues have affected their work. That’s why 45% of legal organizations have approved multilingual AI tools. However, that’s not the only reason that DeepL has a central role to play.

AI built for legal-grade security and compliance

For a legal team, it’s not enough for an AI translation tool to merely translate words accurately. They need a commitment to innovation in security and compliance that’s as strong as the commitment to product development. 

Legal teams need AI that has a deeper, contextual understanding of language in the legal context to ensure precision in translation and quality in output. They need tools that they can customize to reflect the expert knowledge of a firm, company, and team. And those tools must elevate that expertise.

We’ve developed DeepL as an AI platform specifically designed to meet these requirements. It’s why we comply with the latest security standards for the world’s most sensitive industries. It’s why we continually add new features such as these:

• Bring your own key (BYOK) encryption
• Multi-factor authentication (MFA) 
• Advanced access controls

Together, these features embed compliance without compromising productivity. DeepL enables AI translations that language experts rate the most accurate and that are custom to each organization.

Turning AI adoption into a sustainable, strategic advantage

The value of a secure, compliant, and yet agile AI strategy goes far beyond heading off the risk of shadow AI. 

Instead of AI adoption pressure driving them, organizations can make confident, strategic investments with clear outcomes and calculable returns.

An AI strategy shouldn’t just be a rushed piece of risk mitigation. With the right tools, platforms, and partners, it creates invaluable opportunities:

• To elevate the work that you do
• To transform your impact as a team
• To unlock growth opportunities

And with the right partner, it’s an investment that will keep delivering for your legal firm.

Choosing secure, language-focused tools like DeepL today makes it easier to build a more advanced, strategic AI stack tomorrow. 

Visit DeepL AI Labs to see how we’re continually innovating in Language AI.

Make legal AI adoption a strategic advantage with DeepL

When AI adoption outpaces governance, the risk isn’t only shadow AI. Legal teams also miss chances to use AI strategically and safely. 

DeepL’s Language AI is built for legal work, combining precise translation with enterprise-grade security and compliance. Our AI suite—Translator, Write, Voice, API, and Integrations—covers every language-heavy workflow your legal team depends on.

Ready to move from ad hoc tools to an approved, strategic AI stack? 

Contact Sales to see where DeepL solutions fit in your legal firm’s roadmap.