TLDR: Singapore is advancing its digital governance by piloting an agentic AI tool to automate Annual General Meeting (AGM) compliance for companies and has officially launched LawNet 4.0, a generative AI-powered search engine for lawyers. These initiatives, developed by the Infocomm Media Development Authority (IMDA) and the Singapore Academy of Law (SAL), aim to streamline routine tasks, enhance regulatory compliance, and provide legal professionals with more contextual and efficient research capabilities.
Singapore is taking significant strides in integrating artificial intelligence into its corporate and legal sectors, with the Infocomm Media Development Authority (IMDA) and the Singapore Academy of Law (SAL) spearheading two major initiatives. These developments, announced at the TechLaw.Fest 2025 on September 11, include a pilot for an agentic AI tool for corporate compliance and the launch of a generative AI (GenAI) search engine for legal professionals.
Agentic AI for Corporate Compliance
The ‘agentic AGM demonstrator’ is a proof-of-concept developed by IMDA in partnership with SAL, designed to automate the complex process of Annual General Meeting (AGM) compliance. This system aims to address several challenges faced by the corporate secretarial sector, such as increasing regulatory complexity, the administrative burden of routine tasks prone to human error, and the need to free up professionals for higher-value advisory work.
The demonstrator guides companies through a sequence of steps for compliant AGMs, including managing essential documents, coordinating stakeholders, and submitting final paperwork to the Accounting and Corporate Regulatory Authority (ACRA). The process also incorporates necessary human review points. IMDA highlights that the increasing digitalization of corporate compliance offers a prime opportunity to leverage AI for streamlining tasks and enhancing compliance. This shift is expected to elevate the role of corporate secretaries to a more strategic function, focusing on governance advice, preventing non-compliance, and guiding companies through significant events like restructuring or Initial Public Offerings (IPOs).
GenAI-Powered Search Engine for Lawyers
Simultaneously, the enhanced LawNet 4.0 platform has been officially launched, introducing a generative AI-powered search engine for legal professionals. Unlike its predecessor, which relied on traditional keyword searches, LawNet 4.0 can now understand the context and meaning behind user queries, allowing lawyers to pose questions in natural language, particularly concerning contract law.
This advanced capability is powered by IMDA’s GPT-Legal Q&A model, which combines large language model (LLM) technology with retrieval-augmented generation (RAG). Justice Kwek Mean Luck, Chair of LawNet Technology Services, emphasized the evolution of legal research, stating, “We are now moving beyond summarising individual documents and onto the next frontier — multi-document summarisation. This means connecting insights across jurisdictions, statutes, and legal commentaries to provide more holistic, contextualised answers, to better support complex legal research.” SAL plans to expand the GenAI-powered search engine to cover family and criminal law use cases in the future.
Broader AI Integration in the Legal Sector
Beyond these launches, Justice Kwek also revealed an ongoing partnership between SAL and AI Singapore to use GenAI for automatically creating and dynamically updating annotations for statutory provisions, a traditionally labor-intensive task for lawyers. This will provide a constantly updated resource for legal professionals.
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Furthermore, LawNet had previously launched an AI-powered summarization tool for unreported judgments, which has already generated summaries for over 15,000 court judgments, reducing average 8,000-word documents to precise 800-word summaries. To ensure high accuracy and a familiar format, SAL and IMDA fine-tuned an open-source model using LawNet’s existing data and feedback from Justices’ law clerks. Janet Chiew, IMDA’s Deputy Director (Incubation), noted that her team addressed GenAI hallucination by focusing on improving legal data quality and building user-centric safety features.
