Lawg is developed by CoeusX. CoeusX builds AI tools for regulated professions, with a focus on accuracy, transparency, and practical application in professional services.

Lawg is built for small and mid-sized professional firms that face regulatory complexity, margin pressure, and limited internal research capacity:

• Tax practitioners and agents
• Lawyers and legal practitioners
• Business advisers and consultants
• In-house finance, tax, and compliance teams

It is not designed for consumers seeking personalised legal or tax advice.

Both Lawg and ChatGPT use large language models for reasoning — the difference is what sits around the LLM. ChatGPT generates answers from training data alone, with no specialised Australian tax layer. Lawg adds a curated Australian tax database, agentic orchestration with domain-specific routing, intelligent query understanding, evidence reranking, and a citation verification layer. Every response includes inline citations traceable to specific Acts, sections, and case names. ChatGPT's answers may sound authoritative but cannot be verified — Lawg's answers can.

Yes. Lawg is specifically designed for small and mid-sized accounting firms that face regulatory complexity but lack the internal research capacity available to Big 4 and top-tier practices. Traditional options like tax advisory hotlines can be slow, expensive, and often return vague answers without specific legislative references. Lawg delivers instant, citation-backed research across Australian tax legislation, ATO rulings, and case law — so practitioners can verify the answer and apply their own professional judgment. It covers the tax topics accountants deal with every day, including Division 7A, trust distributions, CGT small business concessions, PSI, GST on property, FBT, and SMSF compliance.

Traditional platforms like CCH iKnowConnect and Thomson Reuters Checkpoint are authoritative but designed as search-and-interpret libraries — practitioners still bear the full burden of synthesis and documentation. Tax advisory hotlines like Knowledge Shop provide human-answered queries that can be slow and subjective. Lawg takes a different approach: it is an AI agent that reasons across authoritative Australian tax sources, orchestrating multi-step workflows to deliver instant answers with inline citations traceable to specific Acts, sections, and rulings. For small and mid-sized firms, Lawg provides comparable research depth at a significantly lower cost, with research that takes seconds instead of hours.

Advisory hotlines employ qualified professionals who are bound by professional liability constraints. They cannot give definitive advice on specific client situations without full engagement, so they typically explain the law in general terms and avoid specific recommendations. This is a structural limitation, not a quality issue — they are protecting themselves and their clients from the risk of incorrect advice given without full context. Lawg takes a different approach: instead of giving advice, it provides citation-backed research outputs traceable to specific legislation, ATO rulings, and case law. Practitioners can then verify the sources and apply their own professional judgment. This gives you the specific legislative references that hotlines often omit, while keeping the professional responsibility where it belongs — with you.

For the core research workflow — finding relevant legislation, ATO rulings, and case law — yes. Lawg delivers instant, citation-backed answers that would typically take hours to receive from an advisory hotline. Many accountants find Lawg covers 80–90% of their daily research needs faster and more transparently than traditional hotlines. However, advisory hotlines like Knowledge Shop remain valuable for genuinely ambiguous cases where you need human expert nuance and experience-based judgment. The most effective approach for many firms is using Lawg as the first-pass research tool and reserving hotline queries for complex edge cases.

Lawg is an AI tax agent that orchestrates multi-step reasoning workflows across a curated database of Australian tax legislation, ATO rulings, and case law. Under the hood, it uses retrieval-augmented generation anchored to authoritative sources — not open-ended generation from training data like ChatGPT. Each citation includes inline references [R1], [R2] that link directly to the original source document. You can click any citation to view the exact passage in the original legislation, ATO ruling, or court decision, with the relevant text highlighted. This verify-on-click design means you never have to take the AI's word for it — you can confirm every reference against the primary source in seconds.

Most AI research tools use basic retrieval-augmented generation (RAG) — they search a database and paste results into a prompt. Lawg goes further with agentic reasoning: it routes your query to the right knowledge bases using intelligent intent recognition, orchestrates multi-step research workflows across specialized tax domains, applies complexity-aware research strategies, and reranks evidence before generating a structured, citation-backed answer. This is why Lawg can handle questions that span multiple tax areas (e.g., Division 7A through a trust with CGT implications) — it reasons across sources rather than just searching them.

Lawg is a tax research tool, not a generic legal AI. While it does cover Australian legislation and case law broadly, its primary design purpose is serving accountants, tax agents, and tax practitioners with daily tax case research. It is not designed for contract review, litigation support, or legal document drafting. Its database is optimised for tax-relevant materials including ITAA 1997/1936, ATO rulings (TRs, TDs, LCRs), and tax-related Federal Court decisions. The knowledge graph maps relationships specifically between tax legislation, ATO interpretations, and case law.