Singapore trials agentic AI for corporate compliance, launches GenAI search engine for lawyers

Very soon, companies in Singapore could use an agentic artificial intelligence (AI) assistant to handle their paperwork submissions for Annual General Meetings (AGMs). 

Separately, lawyers could now pose questions related to contract law on LawNet 4.0, a one-stop platform for legal research in Singapore, using natural language.

Both the proof-of-concept (POC) for the agentic AGM demonstrator and the official launch of the LawNet 4.0 platform were announced at the TechLaw.Fest 2025, jointly organised by Singapore Academy of Law (SAL) and the Ministry of Law, on September 11 in Singapore. 

Agentic AGM demonstrator 

The agentic AGM demonstrator was developed by Singapore’s Infocomm Media Development Authority (IMDA), partnering SAL, a potential user of the system. 

The system aims to tackle a few challenges in the corporate secretarial sector, including increased regulatory complexity, administrative burden of routine tasks prone to human error, and freeing up professionals to focus on higher-value advisory work. 

IMDA has designed the system to help companies plan for a compliant AGM by following a sequence of steps. 

These steps ranged from managing essential documents, coordinating stakeholders and submitting final paperwork to the Accounting and Corporate Regulatory Authority (ACRA). The process also includes steps where human review is required. 

According to IMDA’s official release, the increasing digitalisation of corporate compliance processes provided an opportunity to use AI to streamline routine tasks and enhance compliance. 

The role of a corporate secretary is expected to become more strategic, focusing on advising boards on governance, preventing costly non-compliance, and guiding companies through major moves like restructuring or initial public offerings (IPOs), IMDA highlighted. 

GenAI-powered search tool for lawyers 

Previously, the LawNet platform only used a traditional keywords search engine. Now, its generative AI (GenAI)-powered search engine can understand the context and meaning behind the user's requests.

The revamped search engine on LawNet 4.0 was jointly launched by IMDA and SAL during the TechLaw.Fest 2025, and subscribers of LawNet can now it.

Launched 35 years ago, LawNet is an online legal information portal developed by SAL around Singapore legislation and other legal research materials. It has since expanded to include case law from other jurisdictions like Malaysia, India and the UK. 

The search engine uses IMDA's new GPT-Legal Q&A model to understand context, which combines large language model (LLM) technology with retrieval-augmented generation (RAG) to assist with user queries. 

The model has been trained on Singapore's legal context across vast amounts of authoritative data like judgements, Singapore law reports and legislation.

Legal researchers could get real-time and referenced answers to complex questions around contract law. The questions might range from factual queries to specific case scenarios and even hypothetical ones, IMDA stated.

“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,” said Justice Kwek Mean Luck, Chair, LawNet Technology Services, at the event. 

SAL is expected to roll out the GenAI-powered search engine to cover family and criminal law use cases in the future. 

Public-private partnership 

Justice Kwek shared that another partnership between SAL and AI Singapore is underway to use GenAI to create annotations for statutory provisions, which is also a labour-intensive effort for lawyers. 

What this means is that the tool would automatically create and dynamically update annotations for statutory provisions, providing lawyers with a constantly updated resource. 

Last year, LawNet launched an AI-powered summarisation tool for unreported judgements to help users quickly grasp key case points without having to go through dense documents. 

To ensure high accuracy and a familiar format, SAL worked with IMDA to fine-tune an open-source model using LawNet’s existing data and feedback from Justices’ law clerks. 

The tool has so far generated summaries for more than 15,000 court judgments, shrinking an average 8,000-word document down to a precise 800-word summary. 

IMDA’s Deputy Director (Incubation), Janet Chiew, previously shared with GovInsider how her team addressed the challenge of GenAI hallucination by focusing on two key areas: improving the quality of the legal data and building safety features that work with users.

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