How Shadow AI Is Changing the Risk Profile of Modern Law Firms (Part 1)

Legal has never adopted technology overnight.

Email took years to become the default way of communicating with clients. Cloud platforms gradually replaced on-premise systems. Collaboration tools reshaped how lawyers worked across offices and jurisdictions. Each innovation changed legal practice incrementally, often beginning with individual teams before becoming firm-wide.

This is the first in a three-part series looking at how AI is beginning to reshape legal practice. The next two articles explore why security and convenience are not the trade-off they are often assumed to be, and why organisational knowledge is fast becoming the next competitive advantage for law firms.

Generative AI feels different. Not because the pattern has changed, but because the pace has.

Across many firms, that experimentation is happening outside formally approved systems. Lawyers are turning to publicly available AI tools to summarise documents, refine drafting, organise research or prepare for meetings, often with the best intentions, but without the governance, oversight or safeguards their firms would expect.

The reasons are understandable. The pace of legal work has accelerated, with more information to process, more meetings to absorb and more competing priorities than ever before. As the cognitive demands of the profession continue to grow, many lawyers are looking for practical ways to regain time, improve recall and reduce the administrative burden that surrounds legal work. While that pressure has undoubtedly contributed to the rise of Shadow AI, it is rarely the only factor. In many organisations, informal experimentation, inconsistent guidance and an incomplete understanding of the risks have also played a part in bringing unapproved AI tools into everyday legal work.

That phenomenon has become known as Shadow AI.

Shadow AI isn’t a new type of artificial intelligence. It’s the use of consumer or unapproved AI tools outside a firm’s formal governance framework. And it’s becoming increasingly common, not because lawyers are looking to bypass policy, but because they’re looking for faster, more effective ways to do good work.

That is why the conversation around Shadow AI is often framed too narrowly.

Much of the debate focuses on policy breaches, confidentiality and risk. Those concerns are entirely justified. But they are also symptoms of something much more interesting happening inside the profession.

Shadow AI is revealing a shift in expectation.

Lawyers are no longer asking whether AI has a place in legal practice. Increasingly, they’re asking why it isn’t already part of the way they work.

And it is that shift in expectation that is quietly reshaping the conversation across the legal profession.

Shadow AI isn’t a technology problem

It’s easy to assume Shadow AI exists because lawyers are ignoring firm policies.

In reality, the motivations are often far more practical.

• A solicitor preparing for a client meeting wants to summarise lengthy documents more quickly.
• A partner needs to identify themes across multiple contracts.
• A trainee wants help organising research before refining it themselves.

None of those are examples of lawyers trying to avoid governance. They’re examples of professionals looking for better ways to manage growing workloads while maintaining quality.

The challenge for firms is that when approved tools don’t exist, or aren’t easy to access, people naturally gravitate towards the tools that do.

That’s rarely an act of defiance.

It’s usually an attempt to get the job done.

The Law Society Gazette recently highlighted that AI adoption is no longer confined to the UK’s largest firms. Mid-sized practices are actively exploring how AI can improve legal work because, “it’s about not wanting to be left behind.”

That sentiment matters.

It suggests demand is now being driven by the profession itself rather than by technology vendors.

The real risk isn’t AI, it’s unmanaged AI

Too much of the debate over the past few years has treated AI as an either/or proposition.

Some commentators present AI as an unacceptable risk.

Others treat governance as an obstacle slowing innovation.

Neither position reflects the reality facing most firms. For most lawyers, the conversation isn’t about AI for its own sake. It’s about finding practical ways to manage increasing workloads, reduce administrative burden and maintain the quality of their work.

That’s an important distinction.

The legal sector doesn’t need to adopt every new AI capability overnight. In many cases, the greatest value comes from trusted tools that apply AI to specific, everyday challenges, helping lawyers capture meeting insights, organise information, surface relevant knowledge or reduce repetitive administrative work, all within a secure and governed environment.

Seen through that lens, governance isn’t there to prevent innovation. It’s there to ensure firms can adopt AI-powered tools with confidence, knowing they support lawyers, protect client information and meet the standards expected by the profession.

Legal IT Insider’s latest report on generative AI argues that the industry has reached a turning point. After several years of experimentation, the central question is no longer what AI can do, but what firms can confidently defend, to clients, regulators and the courts. As the report puts it, “governance is no longer a brake on the work; it has become the infrastructure that makes the work possible.”

That feels like one of the most significant shifts happening across legal technology today.

Good governance doesn’t reduce ambition.

It gives firms permission to be ambitious.

Trust remains the profession’s greatest asset

Legal practice has always depended on trust.

Clients trust their lawyers to exercise sound judgement. Courts trust that submissions are accurate and properly evidenced. Colleagues rely on the quality of the work that has come before them. Those foundations don’t change with AI. If anything, they become even more important as technology becomes part of everyday legal practice.

The firms likely to succeed won’t be those that simply deploy the latest AI platform. They’ll be the firms that establish clear principles around when AI should be used, where human judgement remains essential, how confidential information is protected and how outputs are verified before they influence legal advice.

This isn’t simply a technology strategy. It’s a trust strategy.

The Solicitors Regulation Authority reflects this balanced approach in its latest Risk Outlook, recognising both the opportunities AI presents and the responsibilities firms must consider as adoption accelerates. That’s an important signal for the profession. The regulator isn’t asking firms to slow innovation or stand still. It’s encouraging firms to move forward responsibly, with the governance and oversight needed to maintain client trust.

From restriction to enablement

Perhaps the biggest misconception about AI governance is that its primary purpose is to stop things happening. In practice, the opposite is often true.

The most effective governance frameworks make AI easier to adopt because they remove uncertainty. Lawyers understand which tools they can use and where AI fits into their daily work. Clients gain confidence that technology is being used responsibly and confidential information remains protected. Risk and compliance teams know appropriate safeguards are in place, while innovation teams can focus on improving adoption rather than policing behaviour.

That creates a much stronger foundation than simply trying to eliminate Shadow AI altogether.

If lawyers increasingly expect intelligent support as part of everyday practice, prohibition is unlikely to be a sustainable long-term strategy. Providing secure, governed alternatives that lawyers trust, and genuinely want to use, is far more likely to achieve the outcome firms are looking for.

The bigger question

It’s easy to see why Shadow AI has become one of the legal sector’s biggest talking points.

Lawyers are increasingly using AI tools outside approved environments, often without the governance, security or oversight firms need to protect confidential information and maintain client trust. For a profession built on judgement, confidentiality and accountability, that’s a risk no firm can afford to ignore.

But Shadow AI is not the destination. It’s the transition.

As firms introduce trusted AI platforms, clearer governance and better ways of supporting everyday legal work, the need for Shadow AI should naturally diminish.

When that happens, the conversation moves beyond risk. If firms can provide their lawyers with trusted AI, connected information and immediate access to relevant knowledge, how does that change the way legal expertise itself is applied?

That may prove to be the more important question.

Because AI isn’t redefining the value of legal expertise.

It’s redefining how that expertise is captured, connected and built upon across the firm.

Sources

• Law Society Gazette, AI for mid-size firms: “It’s about not wanting to be left behind” (8 May 2026): https://www.lawgazette.co.uk/roundtables/ai-for-mid-size-firms-its-about-not-wanting-to-be-left-behind/5126724.article
• Legal IT Insider, Gen AI and the Practice of Law 3 Report: Governance is the Key, not the Lock (16 June 2026): https://legaltechnology.com/gen-ai-and-the-practice-of-law-3-report-governance-is-the-key-not-the-lock/
• Solicitors Regulation Authority, Risk Outlook Report (updated 23 April 2026): https://www.sra.org.uk/solicitors/resources/innovate/risk-outlook-report/

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