AI adoption across legal teams is accelerating, driven by increasing pressure to improve efficiency, reduce costs, and respond to growing volumes and complexity of work. What was once a cautious consideration is now becoming a clear area of strategic focus across both in-house and private practice environments.

However, for legal functions, AI is not simply a productivity tool. Its use sits at the intersection of confidentiality, regulatory compliance, and professional accountability, creating tension between driving efficiency and maintaining control.

Why AI Adoption Is Complex for Legal Firms

Legal teams are inherently risk‑focused, with a central commitment to maintaining compliance, controlling risk, and reinforcing accountability.  The potential for AI to generate inaccurate or ambiguous outputs introduces a level of uncertainty which in legal work can have serious implications. Even minor errors can have disproportionate consequences, and unclear accountability further limits willingness to rely on AI.

For Financial Services legal teams this is elevated, working within highly regulated frameworks, handling privileged and market-sensitive information, and operating under constant regulatory scrutiny.

Legal work requires outputs that are not only accurate, but defensible, auditable, and clearly reasoned. Many AI tools fall short in providing the transparency required to evidence sound reasoning and mitigate bias. Combined with professional obligations to validate outputs, human oversight remains essential.

Overall, resistance is less about rejecting AI and more about ensuring it can be used safely, responsibly, and effectively in high-risk, highly regulated environments.

Where AI Is Delivering Value in Legal Teams

Where implemented appropriately, AI is already delivering tangible value across legal teams.

Typical use cases include:

Document and contract review — improving speed and consistency

Legal research — accelerating access to relevant information

Compliance monitoring — supporting regulatory alignment

Knowledge management — enhancing internal efficiency and accessibility

AI is delivering clear gains in speed, consistency, and insight, while keeping human judgement firmly at the centre of decision-making processes. This balance is critical in legal environments, where outputs must be both efficient and defensible.

This uptake reflects a broader shift in expectations placed on legal functions. AI provides a practical way to streamline routine, repeatable work, enabling legal professionals to redirect their focus towards higher-value advisory and strategic activity.

At the same time, AI capability is becoming a source of competitive advantage. Organisations that are embedding AI in a controlled and deliberate way are better positioned to respond quickly to commercial demands, manage risk more proactively, and optimise their use of external counsel.

Leading in-house teams, particularly within financial services, are therefore taking a measured approach, building capability gradually, prioritising control, and ensuring that adoption aligns with regulatory expectations.

Understanding the Risks: Why Legal Teams Remain Cautious

The pace of AI adoption within legal teams reflects a clear and deliberate assessment of risk. While AI can accelerate delivery, outputs often lack consistency and defensible judgement.

Confidentiality presents a further concern, as legal teams manage highly sensitive and privileged information, and the use of AI introduces uncertainty around data control and exposure. The risks are further intensified by data protection considerations, where clarity over how information is processed and stored is essential to maintaining compliance.

AI usage in legal raises broader considerations around bias, ethics, and accountability. Outputs are only as robust as the data they are trained on, and responsibility for outcomes must remain clearly defined. In legal environments, any ambiguity in ownership creates risk.

These factors do not prevent adoption but inform how it is implemented and used. Legal teams are not resisting AI they are approaching it with the level of control and scrutiny required in high-stakes, regulated environments.

Rising Regulatory Expectations and the Need for Control

Regulatory scrutiny around AI is increasing, particularly within financial services, this means AI must operate within existing regulatory and governance frameworks, not alongside them. Firms are expected to maintain clear accountability, robust oversight, and the ability to explain and justify outputs, meaning human oversight remains essential.

Data protection remains a critical focus, to ensure compliance with GDPR and wider regulatory obligations organisations must have full clarity over how information is processed and managed.

In practice, this reinforces a controlled approach to adoption. AI can deliver value, but only when supported by strong governance and talent capable of operating within these constraints.

How Core-Asset Consulting Supports Firms Navigating This Change

At Core-Asset Consulting, we understand why hesitation exists within legal teams, and support organisations as they navigate this shift. Recognising that successful AI adoption is not about the technology itself, but how it is implemented.

We support firms identify talent that can operate within this complexity.

Our specialist legal consultant Kim Bower, brings over 15 years of experience in the legal recruitment market, with a consistent track record of placing individuals who deliver impact within in-house and regulated environments. Her understanding of both client needs and candidate capability allows her to identify professionals who can balance innovation with control.

We are seeing growing demand for individuals who can:

• Integrate AI into legal processes in a controlled and practical way
• Maintain high standards of confidentiality and compliance
• Apply critical judgement to AI-generated outputs
• Contribute to governance and risk frameworks

In a landscape where adoption is increasing, securing the right talent is a key differentiator. Core-Asset helps organisations build teams that not only navigate this change, but support in driving efficiency, strengthening capability, and maintaining competitive advantage.