I am currently in law school and will be completing my degree within the next year. With AI increasingly being used for legal research, drafting, due diligence and several other aspects of legal work, I am wondering what skills I should focus on developing before I graduate.
I don’t want to spend my remaining time learning skills that may become less valuable as technology changes. I would instead like to develop practical skills that can genuinely make me more useful to a law firm, company or other legal employer and help me stand out when I start looking for jobs.
What skills would you recommend law students learn in the current AI-driven legal industry, and where can I learn or develop these skills effectively before graduating?
If you are graduating in the next one year, I would focus less on learning a particular AI tool and more on developing your legal instinct. Tools will keep changing, but the ability to look at a set of facts and identify what is legally significant, what the real issue is, what information is missing and where the risk lies will remain fundamental. In fact, I think polishing your legal instinct is more important now than ever.
A few skills I would consciously work on are:
1. Learn to identify the real issue before researching it.
Don’t immediately turn to a database or AI when you receive a problem. First ask yourself: What is the actual dispute? Which fact is likely to matter? What does the client ultimately need? What is the strongest argument on the other side? This ability to frame the problem correctly becomes particularly valuable when AI can generate endless possible answers to a poorly framed question.
2. Learn to interrogate AI, rather than simply prompt it.
“Draft an opinion on X” is not really an AI skill. Instead, use AI to break down a problem, test competing propositions, identify counterarguments, challenge your assumptions and tell you what you may have missed. Then independently verify the output. You should be directing the tool, not allowing the tool to direct your legal analysis.
3. Become very good at verification.
This is perhaps one of the most important skills in AI-assisted legal work. Learn to trace every proposition back to the original judgment, statute, regulation or contractual provision. Don’t rely on an authority merely because AI has cited it. Check the actual judgment, the relevant paragraphs and whether the position has subsequently been distinguished or overturned. There is a significant difference between an answer that sounds legally plausible and one that is legally defensible.
4. Learn to work with large factual records.
Practise preparing chronologies, issue-wise document matrices, extracting admissions, identifying contradictions and mapping documents to particular issues. AI can help you process a large volume of material; your skill lies in deciding what actually matters.
5. Develop “document-to-argument” thinking.
Don’t stop at summarising a document. Train yourself to move from document → fact → legal issue → proposition of law → application → argument → relief. For example, if an email contains an admission, don’t just highlight it. Ask what the admission proves, which issue it affects, whether it contradicts another document and what legal consequence follows.
6. Use AI to improve your drafting, not replace your drafting ability.
You can use AI to create a first chronology, structure a research note, identify repetition or suggest alternative formulations. But you should be able to recognise when an argument is poorly sequenced, when a qualification is missing or when a sentence sounds impressive but says very little. AI can give you words; you need to develop the judgment to decide which words should remain.
7. Develop adversarial thinking.
Whenever you formulate an argument, try to formulate the best response to it. Ask yourself, “If I were appearing for the other side, how would I attack this?” You can also use AI for this purpose. Having your argument challenged is often more useful than having it reinforced.
8. Build some technological and data fluency.
You don’t need to become a programmer. But being comfortable with Excel, document comparison, document-management systems, e-discovery tools, AI-assisted research and basic data analysis will make you considerably more useful, particularly in disputes, due diligence and transactional work.
9. Develop commercial judgment.
Don’t stop at asking, “What is the legal position?” Start asking, “Given the legal position, what should the client do?” If you are reviewing a termination clause, understand its commercial consequences. If you are working on a dispute, understand the economics of pursuing it. If you are doing due diligence, understand which findings are actually material to the transaction.
Finally, don’t underestimate communication, judgment and the ability to take ownership of a problem. A client or senior lawyer will not value you simply because you can retrieve a case in seconds. They will value you because you can understand the problem, ask the right questions, identify what matters, communicate it clearly and suggest a way forward.
If I were in your position, I would therefore spend less time collecting certificates in individual AI tools and more time working through real legal problems. Take a case, identify the issues yourself, use AI to test your analysis, verify every source, prepare your argument, ask AI to attack it, refine it and then try explaining the conclusion in two minutes to someone who knows nothing about the case.
That process will build a skill set that is much more durable than simply knowing how to use any one AI platform.
Dear Learner,
The employment market for the new law graduates has changed due to the advancement in the AI that handles initial draft generation and document reviews in seconds. At present, law firms don’t hire junior human search engines or text generators. Instead, they hire them for practical judgment, strategic thinking, client handling, and rigorous output verification. To stand out, you should focus on developing practical core skills that technology cannot replicate.
- While AI tools save immense amounts of research time, the same tools can hallucinate fake legal precedents, misinterpret laws, or cite repealed statutes. Developing an instinct for fact-checking means treating AI outputs as a rough starting point. You must then manually verify every case citation, checking statutory cross-references and ensuring local procedural compliance before any document reaches your senior.
- A generic prompt yields a generic and often useless answer, making prompt design a crucial skill for modern practice. You need to learn how to write detailed prompts that give AI tools proper context, specify the governing jurisdiction, define the professional persona, and set strict formatting rules so that the generated research or first drafts are accurate and immediately usable.
- AI can analyse a legal provision, but it cannot evaluate commercial reality, client goals, or an organisation’s appetite for exposure. Developing business sense involves learning how to translate the laws into practical advice. While an AI might suggest suing a partner for a technical breach of contract, a good lawyer evaluates whether that lawsuit would either make or break the client.
- Interpersonal dynamics, reading a room, demonstrating empathy, and explaining complex legal doctrines in plain language remain entirely immune to automation. Focusing heavily on learning how to manage client expectations, navigate sensitive intake calls, and negotiate deal points ensures you can deliver immediate value that no software can provide.
- As clients adopt AI and digital platforms, they face growing legal hurdles around data leaks, confidential information uploads, and regulatory compliance. Building a clear understanding of fundamental data privacy rules, client confidentiality in tech tools, and corporate governance for emerging technology positions you as a forward-thinking advisor in an area where legal employers urgently need guidance. You can look for some courses from a reputed university (Indian or Foreign) on data privacy.
- Finally, actively participate in your law school’s legal aid clinics, moot court, or negotiation courses to sharpen the real-world communication skills and practical instincts that technology simply cannot match. Always keep in mind that no matter what you learn in books, experience is the best teacher which will make you a great lawyer.
Wishing you the very best.
Hi,
The rise of AI does not make traditional legal skills less important; if anything, it makes having a strong legal foundation more important. AI can assist with research, drafting, summarisation and due diligence, but a lawyer still has to identify the right legal issue, ask the right questions, assess whether the information generated is accurate, exercise legal judgment and ultimately take responsibility for the advice given. Therefore, I would not recommend that law students abandon the fundamentals in favour of trying to become “AI experts”
The first priority should remain legal research, drafting and analytical reasoning. A student should be able to independently understand a statute, read a judgment critically, identify the ratio, distinguish precedents and apply the law to a given set of facts. Similarly, drafting skills- whether of pleadings, contracts, opinions, research notes or correspondence- remain extremely valuable. AI can produce a first draft, but producing a good final draft requires an understanding of the law, facts, strategy, language and the client’s objective.
At the same time, students should become AI-literate. This does not necessarily mean learning how to code or becoming an AI engineer. It means understanding what AI tools can and cannot do, how to give precise instructions, how to verify AI-generated research, how to identify hallucinations and incorrect citations, and how to use AI as an aid rather than an authority. A particularly important skill will be knowing when not to rely on AI. Confidentiality, privilege, data protection and the firm’s internal policies also need to be considered before putting client information into any external AI tool.
Another area students should focus on is communication. Clear writing, concise emails, effective presentations, negotiation, advocacy and the ability to explain complicated legal issues to a non-lawyer are skills that technology cannot easily substitute. In practice, clients generally do not need a lawyer to tell them everything that the law says; they need someone who can tell them what the law means for them and what they should do next.
Students should therefore use AI as a learning and productivity tool, rather than as a replacement for learning. For example, after independently researching a legal issue, AI can be used to test one’s understanding, identify counterarguments, structure a note or suggest questions that may have been overlooked. Similarly, a student can compare an AI-generated draft with their own draft and analyse why one is better. Used in this manner, AI can accelerate learning rather than weaken foundational skills.
Ultimately, I would not advise students to try to predict which specific legal skills AI will make obsolete. Technology will continue to evolve, and the tools that are popular today may be very different a few years from now. Instead, develop skills that remain valuable regardless of the technology being used: sound legal reasoning, excellent drafting, attention to detail, commercial understanding, communication, judgment and professional responsibility. Then learn to use technology to perform those functions more efficiently. The lawyers who are likely to stand out in an AI-driven profession will not necessarily be those who know the most about AI, but those who know how to combine technology with sound legal judgment.
