On Agentic AI and its Transformative Role Within the Legal Practice (Part I)

What if AI did more than just following instructions? What if it thought, planned, and acted? In this first instalment of our three-part series, we explore agentic AI – the next leap in legal technology that is set to transform how law is practised. From strategy-building to decision support, discover why this is not just another tool… it is a paradigm shift the legal world cannot afford to ignore.

The legal world is evolving. For centuries, lawyers worked much the same way – researching cases in libraries, drafting documents by hand, and relying on human memory and expertise. Today, agentic AI is completely reshaping how legal teams operate, and many law firms are not ready for this revolution.

In this first article of a three-part series, we will delve deep into what agentic AI really is – and explore its potentially transformative role within the legal industry. From redefining how tasks are handled to shifting the very foundations of legal strategy, this series will walk you through the key changes, use cases, and ethical considerations shaping the future of law.

Agentic AI does not just follow commands like older technology. It actively works toward goals on its own. This makes it fundamentally different from the document automation and research tools legal teams have used for decades. Agentic AI can draft contracts, develop litigation strategies, find case weaknesses, and even predict judicial outcomes with remarkable accuracy.

When combined with explainable AI (XAI), which shows how AI reaches its conclusions, these systems become even more powerful for legal work. This transparency matters deeply in law, where understanding reasoning is just as important as the conclusion itself.

The firms and legal departments embracing agentic AI today are gaining significant advantages over their competitors. They deliver faster, more consistent results at lower costs. Meanwhile, those viewing AI as just another efficiency tool rather than a transformative force risk falling behind permanently. The legal profession must adapt or face obsolescence in key areas of practice.

Many lawyers mistakenly lump all legal tech into the same category, failing to see what makes agentic AI revolutionary. Unlike basic automation tools that simply follow specific instructions, agentic systems fundamentally change the relationship between lawyers and technology. But the differences matter tremendously

1. Works toward goals, not tasks:

Traditional legal software performs discrete tasks when commanded. Agentic AI on the other hand, works independently toward broader objectives, like ‘draft a merger agreement’ or ‘identify litigation risks in this situation.’

2. Learns and improves:

Agentic systems get better over time by learning from feedback, adapting to law firm preferences, and staying current with legal developments.

3. Makes connections humans miss:

These systems can analyse millions of cases, contracts, and documents simultaneously, to find patterns no human lawyer could possibly detect, leading to better strategic insights.

4. Handles complexity and nuance:

Advanced agentic AI understands context, distinguishes between similar but different legal concepts, and navigates ambiguity – much like experienced attorneys.

5. Proactive rather than reactive:

Rather than waiting for instructions, systems using Agentic AI can identify potential legal issues before they become problems.

If you are still thinking of AI as just a quicker way to get the same legal work done, you are missing the point. Agentic AI is not just speeding things up – it is doing things we never could before, no matter how much time or money we threw at it.

The relationship between lawyers and technology is fundamentally changing. For decades, legal tech has been firmly in the ‘tool’ category – passive systems that perform specific functions when directed by humans. Document management systems organise files but cannot tell you what is important about them. Research platforms find cases but are unable to build arguments from them.

• Agentic AI works more like a junior associate than a tool. It can:
• Proactively identify issues requiring attention
• Draft documents with minimal guidance
• Suggest strategies based on past successes
• Learn firm preferences and adapt accordingly
• Handle complex legal analysis with minimal oversight

This shift from tool to teammate represents the most significant change in how the legal world operates, probably since the introduction of computers. Firms that continue viewing AI merely as a way to automate existing processes are missing enormous opportunities to transform their practice.

The most forward-thinking legal organisations are already reassigning work based on comparative advantages. Agentic AI handles document review, initial drafting, legal research, and pattern analysis, while human lawyers focus on client relationships, novel legal questions, courtroom advocacy, and strategic oversight.

The legal profession has resisted AI adoption more than many industries precisely because traditional AI systems could not explain their reasoning. This ‘black box’ problem creates legitimate concerns about professional responsibility, malpractice risk, and ethical compliance.

For good reason, lawyers cannot simply tell clients or courts ‘the computer said so’ when making recommendations or arguments. The reasoning process matters in law – sometimes more than the conclusion itself. Attorneys need to understand how their AI tools arrive at conclusions to fulfil their ethical obligations.

Explainable AI (XAI) directly addresses this critical barrier. These systems do not just provide answers; they show their work, much like a junior attorney explaining their analysis to a partner. XAI can:

• Show its reasoning: Explain which legal principles, cases, and facts influenced its conclusion
• Highlight key sources: Identify the most relevant precedents and authorities
• Quantify uncertainty: Indicate confidence levels in different aspects of its analysis
• Present alternatives: Explain multiple valid approaches to ambiguous legal questions
• Document its process: Create audit trails showing how conclusions were reached

This transparency transforms AI from risky business into a trustworthy assistant whose work can be meaningfully reviewed. Without XAI capabilities, agentic systems would remain too risky for substantive legal work regardless of its technical abilities.

When agentic capabilities meet explainability, the impact on legal practice is profound – and still underappreciated by many firms. Together, they enable AI systems that can:

• Handle complex legal analysis independently while providing transparent reasoning that attorneys can review and validate
• Identify obscure issues and risks while explaining exactly why they matter based on relevant precedent
• Generate sophisticated legal documents while documenting the sources and reasoning behind key provisions
• Develop litigation strategies with clear explanations of the statistical and legal basis for recommendations
• Predict judicial tendencies with transparent analysis of past rulings and decision patterns

Agentic AI, especially when paired with explainable systems, marks a seismic shift in how legal work is done – not just in terms of speed or efficiency, but in capability, insight, and strategic depth. We are entering a world where AI does not simply support legal professionals – it collaborates with them.

Firms that embrace this transformation will not only gain a competitive edge but will redefine what it means to practise law in the 21st century. Those who hesitate or fail to grasp the scope of change risk being left behind, clinging to outdated workflows in an increasingly dynamic and data-driven legal landscape.

In the next part of our series, we will explore how agentic AI is already being implemented across legal departments – from contract drafting and litigation strategy to compliance and due diligence – and what early adopters are learning along the way.

Slow, it may be, but the legal profession has always evolved with the times – but with agentic AI, it now stands at the threshold of redefining justice itself.

Next Read: On Agentic AI and its Transformative Role Within the Legal Practice (Part II)