Image of a warning sign over a tech and finance background image.

At the recent FinTech North Conference in Liverpool, DTM Legal’s Kate Roberts, Partner and Head of Liverpool, moderated a panel exploring a fast-moving and increasingly important topic: The Future of Risk: AI’s Role in FinTech, Compliance, and Innovation. The session brought together voices from legal, technical and commercial backgrounds to examine how AI is already reshaping financial services, and where the risks and opportunities are likely to emerge next.

For businesses operating in FinTech and adjacent sectors, one message was clear: AI should not be viewed as a single, uniform technology. Different tools present different opportunities, different risk profiles and different governance requirements. That distinction matters. A narrowly trained tool designed to support a specific compliance process may be relatively predictable and useful. A broader generative AI tool introduced without clear guardrails may create legal, regulatory and operational issues far more quickly.

AI risk is already here

Much of the wider conversation around AI still focuses on future possibilities, but the reality is that businesses are already seeing the consequences of misuse. That can come from within an organisation, for example, where staff input sensitive information into public tools, rely on outputs without adequate verification, or use AI outside agreed policies. It can also come from outside, through increasingly sophisticated malicious attacks, fraud attempts, impersonation, cyber threats and social engineering.

As adoption becomes more widespread, these issues are likely to increase. For FinTech businesses in particular, the stakes are especially high. They operate in an environment where trust, security, regulatory compliance and data integrity are fundamental. Any AI-related failure, whether that is a poor decision, a governance gap or a cyber incident, can have immediate reputational and commercial consequences.

AI can also help reduce risk

At the same time, AI is not only a source of risk. Used well, it can be a valuable tool in helping businesses identify, manage and reduce exposure.

In compliance-led environments, AI can assist with spotting anomalies, flagging errors, monitoring patterns, supporting fraud detection and improving the speed of internal review processes. Where businesses deal with large volumes of data, repetitive checks or rule-based workflows, AI can help teams work more efficiently while also strengthening oversight.

Better data and better safeguards lead to better outcomes

One of the most important themes from the panel was the quality of the data and safeguards behind any AI implementation. This is often where businesses either build confidence or create problems.

AI systems are only as reliable as the data, governance and processes surrounding them. If the underlying data is poor, outdated, biased or incomplete, outputs are likely to be flawed. If the internal controls are weak, even a promising tool can introduce unnecessary risk.

By contrast, where a business uses high-quality data sources, applies clear rules around access and use, and adopts a narrow, well-defined application, the outputs are more likely to be dependable and commercially useful.

This is not just a technical issue. It is also a governance issue. Businesses need to understand:

  • what the AI tool is being used for
  • what data it is trained on or drawing from
  • what safeguards are in place
  • where decisions still require human input
  • how outputs are checked, challenged and recorded

For regulated businesses, this level of clarity is increasingly important.

Regulation is playing catch-up

Another key discussion point was the pace of regulation. Innovation is moving quickly, but legal and regulatory frameworks are still developing. That creates uncertainty for businesses trying to innovate responsibly while staying compliant.

In practice, many organisations are being forced to self-regulate before formal regulation catches up. That means putting internal governance in place now rather than waiting for perfect clarity later. Businesses that take a more mature approach early on are likely to be better placed as regulation evolves.

Alongside governance, practical legal and commercial protections also matter. Carefully drafted contracts, appropriate internal policies, strong supplier due diligence, and the right insurance arrangements can all help businesses manage exposure.

That makes early legal advice especially valuable. When disputes arise, whether relating to data misuse, regulatory failings, misrepresentation, breach of contract, cyber incidents or failed technology implementations, businesses need to understand both their risk position and their options for resolution.

Why this matters for business leaders now

Looking ahead, automation will continue to grow across financial services, compliance functions and professional services. AI will play a greater role in streamlining processes, enhancing analysis and supporting decision-making. But growth in adoption will also bring greater scrutiny and a broader risk landscape.

Businesses that stay informed and proactive will be in the strongest position. Understanding both the opportunities and the risks of AI will help organisations innovate with confidence rather than react under pressure.

The real competitive advantage will not come from adopting AI fastest at any cost. It will come from adopting it well, with the right governance, protections and a clear understanding of where human judgement remains essential.

How DTM Legal can help

As AI becomes more embedded in business operations, legal risk will increasingly sit alongside technological and regulatory risk. That means businesses need advice that is practical, commercially focused and aligned with how innovation happens in the real world.

DTM Legal supports businesses in identifying and managing risk, strengthening contractual and governance frameworks, and resolving disputes where issues arise. If your business is adopting new technologies, reviewing AI-related exposure, or dealing with a dispute connected to systems, data or compliance, our team can help you protect your position and move forward with confidence.

Learn more about the services we provide to the tech sector by visiting our Innovation, Tech and Digital page.

Back to News