Realizing the AI Value in Legal: Reflections from Legal Tech in the South West

Reflecting on recent conversations at Legal Tech in the South West in Bristol, the eBrevia team noted a key theme: the importance of optimizing how AI is implemented, integrated and used in practice.

For law firms and in-house legal teams alike, the challenge is to turn AI’s potential into meaningful, sustainable improvements in how legal work gets done.

Speed ≠ Efficiency

AI can help legal teams work faster, but speed alone does not guarantee efficiency. As more people use general-purpose AI tools to review contracts, draft documents, and explore legal arguments, the output still needs to be checked, validated, and integrated into existing workflows. Without the right safeguards and processes, anticipated time savings can quickly diminish.

This is where purpose-built legal AI tools can make a difference. Solutions such as eBrevia's DraftPro are designed to support specific legal workflows, helping teams reduce manual effort, work more consistently, and focus their expertise where it adds the most value.

The opportunity is not simply to do legal work faster, but to use AI in ways that deliver reliable, repeatable improvements to how legal work gets done.

Human judgment hasn’t been replaced

As AI accelerates research, document review, and drafting, the value lawyers bring is increasingly about what happens next: interpreting information, assessing risk, and applying commercial judgment.

But there is a less obvious challenge. If AI takes over tasks that have traditionally helped junior lawyers develop their expertise, how will the next generation learn to exercise that judgment? And what happens when technology changes the very aspects of legal work that practitioners find most rewarding?

The challenge is to automate unnecessary effort without losing the human expertise that makes legal advice valuable.

Technology is only one part of the solution

Buying an AI tool is relatively easy, but embedding it successfully into an organization is much harder.

Real progress depends on three interconnected elements: people, processes, and technology. Before investing in a solution, legal teams need to understand the problem they are trying to solve, how success will be measured, and what needs to change in the way they work.

Reliable data is fundamental to this process. Many organizations are investing in getting their data in order before introducing new technologies, and for good reason. When information is fragmented, inconsistent, or inaccessible, even capable AI tools may struggle to deliver their full potential.

For contract management in particular, making contractual information structured, searchable, and usable is an important foundation for extracting meaningful value from AI.

Getting these foundations right also requires asking the right questions upfront: Where are the biggest inefficiencies? Which workflows are best suited to AI? What needs to change for a new solution to deliver lasting value? Combining the right technology with a clear implementation strategy can make the difference between simply deploying a tool and transforming how a team works.

Legal work is changing. Irreversibly.

AI will inevitably influence how legal services are delivered, priced, and organized. Routine tasks may require less time, while new responsibilities emerge around technology management, oversight, and governance. Law firms may also need to rethink traditional staffing structures and how they develop talent.

For in-house teams, AI offers opportunities to improve not only legal analysis but also operational activities such as matter management, budgeting, and forecasting.

Yet greater automation will not automatically mean lower costs or simpler workflows. The technology itself has costs, and implementing it effectively requires investment in data, people, and change management.

The real opportunity lies in laying proper foundations

The discussions at Legal Tech in the South West reinforced an important point: The key questions center on how legal organizations can use AI effectively and responsibly.

That means starting with the problem, investing in reliable data, rethinking processes, and choosing technology that supports the way legal teams actually work. It also means recognizing that successful adoption may require guidance beyond the technology itself, from identifying the right use cases to aligning workflows and teams around a practical implementation strategy.

At eBrevia, we believe that making contractual information more accessible and useful is an important part of this transformation. Through purpose-built solutions such as DraftPro and a practical understanding of the challenges involved in legal technology adoption, we aim to help legal teams move beyond experimentation and realize meaningful value from AI.

The organizations that benefit most from AI will not necessarily be those that adopt the most tools, but those that combine the right technology with strong data foundations, effective processes, and human expertise.

About eBrevia

Established in 2011 and trusted by some of the world’s most prestigious companies, eBrevia is a leader in AI contract analysis, review, negotiation and management with clients in the US, EMEA, and APAC. For more than a decade, eBrevia has served law firms, corporations, audit/consulting companies, and financial institutions, such as Baker McKenzie, Norton Rose Fulbright, Kroll, SAP, Intel, PwC, EY, and MUFG.