Artificial Intelligence (AI) is transforming legal practice. From legal research and contract drafting to document review and due diligence, generative AI tools offer substantial gains in efficiency and productivity. However, for Indian law firms—particularly those handling international trade, cross-border transactions, and complex commercial matters—AI adoption raises significant concerns relating to client confidentiality, professional ethics, and compliance with the Digital Personal Data Protection Act, 2023 (DPDP Act).

Recent judicial developments highlight the risks of uncritical reliance on AI-generated content. In July 2026, the Supreme Court set aside an order of the National Company Law Tribunal after finding that the Tribunal had relied on case law authorities that did not exist and appeared to have been generated by artificial intelligence. Similarly, in Gummadi Usha Rani v. Sure Mallikarjuna Rao (2026), an Andhra Pradesh trial court referred to four non-existent AI-generated judgments. Although the High Court merely cautioned against such practices, the Supreme Court adopted a much stricter approach.

Law firms routinely handle highly sensitive information. Client files may contain personal data relating to directors, employees, shareholders, customers, and business partners. Uploading such material to a public AI platform effectively involves sharing it with a third-party service provider for processing. Firms often have limited visibility into how data is stored, retained, reused, or transferred. This creates both cybersecurity and legal risks.

The DPDP Act establishes a comprehensive framework governing the processing of digital personal data in India. Uploading client documents containing personal data to an AI platform is likely to constitute “processing” under the Act. Law firms must therefore ensure that such processing serves a lawful purpose, is supported by an appropriate legal basis, and is protected through reasonable security safeguards.

Vendor management becomes especially important when AI providers process personal data on behalf of law firms. Beyond legal compliance, lawyers owe their clients fundamental duties of confidentiality and legal professional privilege. Contracts, legal opinions, arbitration strategies, merger documents, due-diligence reports, and privileged correspondence are often among a client’s most valuable assets. Responsible AI governance is therefore becoming an important component of client trust and professional credibility.

For firms engaged in international trade and commercial practice, the challenges are even greater. Many AI platforms operate through cloud infrastructure spread across multiple jurisdictions. Although the DPDP Act generally permits cross-border data transfers unless restricted by the Central Government, firms must still evaluate the legal and commercial implications of transferring sensitive client information overseas.

International trade matters frequently involve foreign investment, export controls, sanctions compliance, customs valuation, free trade agreements, supply chains, and environmental, social and governance (ESG) obligations. Such information may be subject to contractual confidentiality commitments, foreign privacy laws, or sector-specific regulatory requirements.

Privacy concerns are not the only challenge. Generative AI systems can produce inaccurate legal analysis, outdated regulatory interpretations, or entirely fabricated citations. In international trade law, even minor errors can lead to significant consequences, including incorrect customs classifications, flawed sanctions advice, misunderstanding of treaty obligations, or reliance on superseded regulations.

Instead of prohibiting AI use altogether, law firms should adopt structured governance frameworks that promote innovation while protecting client interests. Key safeguards include prohibiting the upload of privileged or highly confidential information to unrestricted public AI systems; anonymizing or redacting sensitive data before use; deploying enterprise AI solutions that offer encryption, audit trails and contractual confidentiality protections; establishing firm-wide AI policies and approval processes; training lawyers and staff on responsible AI practices; and requiring human review of all AI-generated legal work before it is shared with clients. These measures reduce legal, regulatory and reputational risks while demonstrating a commitment to responsible innovation.

AI is poised to become an integral feature of modern legal practice. The DPDP Act provides an important framework for protecting personal data, while the realities of international trade and cross-border legal work demand heightened attention to confidentiality, data governance, and commercial sensitivity. The law firms best positioned for the future will be those that balance technological innovation with accountability. By implementing robust AI governance and maintaining rigorous professional oversight, Indian law firms can harness the benefits of AI without compromising client trust. In an era where data is both a valuable commercial asset and a legal responsibility, responsible AI adoption is no longer optional—it is essential.  / DAILY WORLD /