---
title: "Capital Markets & Securities — ECM/DCM and Disclosure"
url: "https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure"
type: "practice_area"
site: "AI Law Framework"
id: "A4"
task_count: 30
last_reviewed: "2026-10-10"
---

# Capital Markets & Securities — ECM/DCM and Disclosure

> Offer documents, market announcements and listing-rule work for equity and debt. AI drafts and builds verification tables; the lawyer and the due-diligence committee decide materiality and sign-off.

Canonical page: https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure  
Last reviewed: 2026-10-10

Site index for agents: https://ailawframework.com/llms.txt

Also covers: Equity capital markets, debt capital markets, securities law, fundraising law, disclosure law, prospectus law, continuous disclosure, Chapter 6D, Part 7.9, ASX Listing Rules

## Key facts

- Tasks: 30
- Green: 9, Yellow: 17, Red: 4
- Levels: Green is AI drafts and the lawyer checks; Yellow is lawyer and AI draft together; Red is the lawyer writes and AI may only check, clarify or collect data.

## Principles

- **Define the matter**: Confirm the client’s instructions, jurisdiction, intended output and the information available before dividing the work.
- **Verify the authorities**: Open each relied-on authority independently. Confirm its existence, current status, proposition and any quotation or pinpoint reference.
- **Calculate the dates**: Calculate operative dates independently from the current rule and actual triggering event. Check exceptions and record the verified deadline.

## Checklist

- Open each relied-on authority independently. Confirm its existence, current status, proposition and any quotation or pinpoint reference.
- Calculate operative dates independently from the current rule and actual triggering event. Check exceptions and record the verified deadline.
- Check the current court or regulator requirements, prescribed form and attachments for the intended document and filing.
- Review operative clauses in the complete document, including definitions, cross-references, schedules and inconsistencies with the instructions.
- Confirm that the wording reflects the client’s instructions and contains no unintended admission, concession or commitment. Check the recipient and tone.
- Confirm that the actual tool, feature and processing terms permit use of this information, including access, retention, training and disclosure conditions.
- Verify dates, people and sequence against contemporaneous records. Preserve uncertainty and identify gaps or conflicting accounts.
- Review the original source set for relevant material absent from the output, including contrary evidence, qualifications and unresolved gaps.
- Verify the applicable jurisdiction and the version of each relevant law, rule or instrument in force at the material time.
- Resolve exceptions and record the responsible lawyer’s approval of the exact output and intended use.

## Restrictions

- Confirm firm, client and applicable court or professional restrictions before using any AI feature.

## Jurisdiction note

Apply this guidance to the actual matter and jurisdiction. Confirm current requirements before relying on an example.

## Basis

Practice guidance supports planning; the responsible lawyer confirms the scope, evidence and review requirements for the matter.

Also covers: Equity capital markets, debt capital markets, securities law, fundraising law, disclosure law, prospectus law, continuous disclosure, Chapter 6D, Part 7.9, ASX Listing Rules

Capital markets and securities law in Australian practice centres on the origination, structuring, and execution of equity and debt offerings (IPOs, rights issues, placements, bonds, hybrid instruments) and the ongoing disclosure obligations of listed and unlisted issuers under the Corporations Act 2001 (Cth), ASX Listing Rules, and ASIC regulatory guides. The AI risk profile is acute and multi-directional: hallucinated statutory references, wrong materiality thresholds, or missed disclosure triggers expose issuers, underwriters, advisers and their lawyers to civil and criminal liability under ss 728–731 of the Corporations Act, ASIC enforcement, and securities class actions; legal professional privilege may be waived by routing privileged advice through an external AI tool; and confidentiality obligations under ASCR Rule 9 are engaged from the moment deal-specific information is entered into any non-firm-controlled AI system.

## Limits on AI assistance

Red lines — never in this area

## Limits on AI assistance

AI must never give a definitive opinion on whether a specific person possesses 'inside information' or whether a proposed transaction is lawful under ss 1042A–1043O Corporations Act — this is a criminal-law judgment requiring full factual analysis by a qualified lawyer; ASIC's dedicated insider trading prosecution team is active in 2026. AI must never generate or finalise a legal opinion, reliance letter, or due diligence certificate — these are professional certifications with direct firm liability to named addressees and must be independently verified by an admitted Australian practitioner who has personally reviewed all underlying materials. AI must never make the final materiality call for continuous disclosure purposes (ASX LR 3.1) — whether information would have a 'material effect on price or value' requires real-time human judgment; any AI-assisted process that delays this decision is itself a potential breach, particularly given removal of the fault element for ASIC civil penalty proceedings. AI must never confirm that a s 708 sophisticated/wholesale investor or s 713 continuous disclosure entity exemption is satisfied without a lawyer independently verifying the factual prerequisites for each offeree — non-compliance converts the transaction into a fundraising offence. AI must never be used to draft or review a prospectus, short-form prospectus, or IM section that is then transmitted to ASIC or ASX or distributed to investors without full substantive lawyer review and DDC sign-off — the s 729 liability class is broad and AI-assisted errors in disclosure documents are not excused by the technology used. AI-generated summaries of foreign law (US Securities Act, UK FSMA/FCA rules, Hong Kong SFO, EU Prospectus Regulation in cross-border offerings) must never be relied on without verification by qualified foreign counsel. AI must never determine whether an ESG or sustainability claim in a green bond, sustainability-linked bond, or climate-related disclosure document satisfies current ASIC greenwashing guidance — ASIC has prevailed in all three civil greenwashing penalty proceedings to date; these claims must be reviewed by a lawyer and, where required, an independent verifier. Confidential deal information (issuer identity, transaction structure, material non-public financial data) must not be entered into any AI system that transmits data to external servers unless the firm has verified vendor data-handling satisfies ASCR Rule 9 and APP 11 — this applies with particular force pre-announcement, where processed information may itself constitute inside information under ss 1042A–1043O. AI-generated content must never be submitted to a court, ASIC, ASX, or any regulator without a lawyer verifying every citation and factual statement — Murray on behalf of the Wamba Wemba Native Title Claim Group v State of Victoria [2025] FCA 731 resulted in indemnity costs for a firm that submitted hallucinated citations; Handa & Mallick [2024] FedCFamC2F 957 resulted in supervised practice conditions.

- AI must never give a definitive opinion on whether a specific person possesses 'inside information' or whether a proposed transaction is lawful under ss 1042A–1043O Corporations Act — this is a criminal-law judgment requiring full factual analysis by a qualified lawyer; ASIC's dedicated insider trading prosecution team is active in 2026.
- AI must never generate or finalise a legal opinion, reliance letter, or due diligence certificate — these are professional certifications with direct firm liability to named addressees and must be independently verified by an admitted Australian practitioner who has personally reviewed all underlying materials.
- AI must never make the final materiality call for continuous disclosure purposes (ASX LR 3.1) — whether information would have a 'material effect on price or value' requires real-time human judgment; any AI-assisted process that delays this decision is itself a potential breach, particularly given removal of the fault element for ASIC civil penalty proceedings.
- AI must never confirm that a s 708 sophisticated/wholesale investor or s 713 continuous disclosure entity exemption is satisfied without a lawyer independently verifying the factual prerequisites for each offeree — non-compliance converts the transaction into a fundraising offence.
- AI must never be used to draft or review a prospectus, short-form prospectus, or IM section that is then transmitted to ASIC or ASX or distributed to investors without full substantive lawyer review and DDC sign-off — the s 729 liability class is broad and AI-assisted errors in disclosure documents are not excused by the technology used.
- AI-generated summaries of foreign law (US Securities Act, UK FSMA/FCA rules, Hong Kong SFO, EU Prospectus Regulation in cross-border offerings) must never be relied on without verification by qualified foreign counsel.
- AI must never determine whether an ESG or sustainability claim in a green bond, sustainability-linked bond, or climate-related disclosure document satisfies current ASIC greenwashing guidance — ASIC has prevailed in all three civil greenwashing penalty proceedings to date; these claims must be reviewed by a lawyer and, where required, an independent verifier.
- Confidential deal information (issuer identity, transaction structure, material non-public financial data) must not be entered into any AI system that transmits data to external servers unless the firm has verified vendor data-handling satisfies ASCR Rule 9 and APP 11 — this applies with particular force pre-announcement, where processed information may itself constitute inside information under ss 1042A–1043O.
- AI-generated content must never be submitted to a court, ASIC, ASX, or any regulator without a lawyer verifying every citation and factual statement — Murray on behalf of the Wamba Wemba Native Title Claim Group v State of Victoria [2025] FCA 731 resulted in indemnity costs for a firm that submitted hallucinated citations; Handa & Mallick [2024] FedCFamC2F 957 resulted in supervised practice conditions.

## Jurisdiction-specific considerations

Australian traps

## Jurisdiction-specific considerations

Section 728 Corporations Act 2001 (Cth) imposes liability for misleading or deceptive statements or omissions in disclosure documents; s 729 creates civil liability against a wide class including issuers, directors, underwriters, and advisers; the s 731 due diligence defence requires proof that ALL reasonable inquiries were made — an AI-assisted process that substituted AI summaries for reading underlying documents will not satisfy this test. CONTINUOUS DISCLOSURE FAULT ELEMENT REMOVED FOR ASIC: The Treasury Laws Amendment (Financial Market Infrastructure and Other Measures) Act 2024 received Royal Assent on 9 September 2024 and includes amendments implementing the Government's August 2024 response to the Continuous Disclosure Independent Review, which agreed to remove the requirement for ASIC to prove fault elements (knowledge, recklessness, or negligence) in civil penalty proceedings under ss 674–675 — verify the commencement date of the relevant provisions. Inadvertent AI-assisted disclosure failures therefore carry greater ASIC civil penalty exposure than under the 2021–2024 regime. ASX Listing Rule 3.1 requires IMMEDIATE disclosure (operationally: before the opening of the next trading session) of market-sensitive information — AI-assisted analysis that delays a disclosure decision is itself a breach risk; the lawyer must make the materiality and LR 3.1A carve-out assessment in real time. ASIC REP 798 (October 2024, 'Beware the gap') found that AFS licensees are adopting AI faster than they update governance frameworks — ASIC has flagged this as a compliance risk under s 912A (obligation to have adequate risk management systems). Firms advising on capital markets transactions are typically themselves AFS licensees and subject to this obligation. ASIC and APRA issued coordinated calls to action in 2026: APRA's open letter (30 April 2026) set minimum expectations for Boards on AI governance, cyber security, supplier reliances, and AI literacy; ASIC's Letter to Industry (8 May 2026) urged AFS licensees to urgently strengthen cyber resilience against frontier-AI-enabled threats. Law firms advising AFSL holders should be aware these expectations inform client governance requirements. ASIC's 2026 enforcement priorities confirm a specialist insider trading prosecution team established in 2025 will continue active enforcement — any AI-assisted wall-crossing or trading-window advice that produces an incorrect result carries immediate criminal exposure for the client (s 1043A: up to 15 years imprisonment) and potential regulatory scrutiny of the advising firm. Greenwashing is an active ASIC enforcement priority: ASIC has conducted 47+ regulatory interventions in 15 months, commenced three civil penalty proceedings (succeeding in all three on liability), and secured an $11.3 million penalty against one fund. Sustainability representations in green bond, sustainability-linked bond, or ESG-linked IM that are AI-generated and unverified carry infringement notice and civil penalty risk under ss 12DA ASIC Act and 1041H Corporations Act. LEGAL PROFESSIONAL PRIVILEGE: Routing privileged advice or communications through an AI tool that processes data on external servers may constitute a third-party disclosure that waives privilege — Clayton Utz (April 2026) has specifically identified AI-assisted common workflows as creating privilege-waiver risk. In a capital markets context, the same disclosure may also trigger inside-information liability. Firms must have a vendor-approval and data-handling protocol in place before deploying AI on any matter. PRIVACY — AUTOMATED DECISION-MAKING: The Privacy and Other Legislation Amendment Act 2024 (Cth) inserts new APP 1.7 requirements to disclose substantially automated decision-making in privacy policies; these provisions commence 10 December 2026. Firms using AI in deal-structuring, advice workflows, or client-facing analytics must update privacy policies and client engagement terms before that date. ASIC capital markets roadmap (Report 823, November 2025) signals: (a) review of RG 228 and RG 254 (pre-prospectus publicity, disclosure modernisation — update expected current financial year); (b) increased supervision of private markets; (c) streamlining of dual-listing policy. AI policy must be updated as these reforms take effect — AI-generated pre-prospectus materials drafted before the updated RG 254 is finalised may breach advertising restrictions that change on enactment. Cross-border transactions (ASX-listed entities with foreign operations, dual-listed structures, Reg S/Rule 144A bonds) require verification that AI-generated disclosure language satisfies both Australian and relevant foreign law — AI systems trained predominantly on US/UK precedent are particularly prone to inserting incompatible US Securities Act (Rule 10b-5), UK FSMA, or EU Prospectus Regulation Article 6 language into Australian disclosure documents. Hard timing deadlines in capital markets cannot be missed: the 14-day exposure period for prospectuses (s 727 Corporations Act), the 5-business-day rule for replacement prospectuses (s 719), the 21-day minimum notice period for general meetings (s 249H), and Chapter 6 takeover timetable milestones are statutory. AI-generated timetable advice must be independently verified against the current statutory text and current ASX practice notes — AI has a documented tendency to miscalculate these periods or apply superseded thresholds. Murray on behalf of the Wamba Wemba Native Title Claim Group v State of Victoria [2025] FCA 731: Justice Murphy ordered indemnity costs against a Melbourne law firm whose junior solicitor submitted hallucinated citations via Google Scholar without verification. This is the first Federal Court indemnity costs order for AI-fabricated citations in Australia. Handa & Mallick [2024] FedCFamC2F 957: Victorian Legal Services Board imposed supervised practice conditions after AI-hallucinated authorities were submitted. Capital markets practitioners face identical professional obligations.

- Section 728 Corporations Act 2001 (Cth) imposes liability for misleading or deceptive statements or omissions in disclosure documents; s 729 creates civil liability against a wide class including issuers, directors, underwriters, and advisers; the s 731 due diligence defence requires proof that ALL reasonable inquiries were made — an AI-assisted process that substituted AI summaries for reading underlying documents will not satisfy this test.
- CONTINUOUS DISCLOSURE FAULT ELEMENT REMOVED FOR ASIC: The Treasury Laws Amendment (Financial Market Infrastructure and Other Measures) Act 2024 received Royal Assent on 9 September 2024 and includes amendments implementing the Government's August 2024 response to the Continuous Disclosure Independent Review, which agreed to remove the requirement for ASIC to prove fault elements (knowledge, recklessness, or negligence) in civil penalty proceedings under ss 674–675 — verify the commencement date of the relevant provisions. Inadvertent AI-assisted disclosure failures therefore carry greater ASIC civil penalty exposure than under the 2021–2024 regime.
- ASX Listing Rule 3.1 requires IMMEDIATE disclosure (operationally: before the opening of the next trading session) of market-sensitive information — AI-assisted analysis that delays a disclosure decision is itself a breach risk; the lawyer must make the materiality and LR 3.1A carve-out assessment in real time.
- ASIC REP 798 (October 2024, 'Beware the gap') found that AFS licensees are adopting AI faster than they update governance frameworks — ASIC has flagged this as a compliance risk under s 912A (obligation to have adequate risk management systems). Firms advising on capital markets transactions are typically themselves AFS licensees and subject to this obligation.
- ASIC and APRA issued coordinated calls to action in 2026: APRA's open letter (30 April 2026) set minimum expectations for Boards on AI governance, cyber security, supplier reliances, and AI literacy; ASIC's Letter to Industry (8 May 2026) urged AFS licensees to urgently strengthen cyber resilience against frontier-AI-enabled threats. Law firms advising AFSL holders should be aware these expectations inform client governance requirements.
- ASIC's 2026 enforcement priorities confirm a specialist insider trading prosecution team established in 2025 will continue active enforcement — any AI-assisted wall-crossing or trading-window advice that produces an incorrect result carries immediate criminal exposure for the client (s 1043A: up to 15 years imprisonment) and potential regulatory scrutiny of the advising firm.
- Greenwashing is an active ASIC enforcement priority: ASIC has conducted 47+ regulatory interventions in 15 months, commenced three civil penalty proceedings (succeeding in all three on liability), and secured an $11.3 million penalty against one fund. Sustainability representations in green bond, sustainability-linked bond, or ESG-linked IM that are AI-generated and unverified carry infringement notice and civil penalty risk under ss 12DA ASIC Act and 1041H Corporations Act.
- LEGAL PROFESSIONAL PRIVILEGE: Routing privileged advice or communications through an AI tool that processes data on external servers may constitute a third-party disclosure that waives privilege — Clayton Utz (April 2026) has specifically identified AI-assisted common workflows as creating privilege-waiver risk. In a capital markets context, the same disclosure may also trigger inside-information liability. Firms must have a vendor-approval and data-handling protocol in place before deploying AI on any matter.
- PRIVACY — AUTOMATED DECISION-MAKING: The Privacy and Other Legislation Amendment Act 2024 (Cth) inserts new APP 1.7 requirements to disclose substantially automated decision-making in privacy policies; these provisions commence 10 December 2026. Firms using AI in deal-structuring, advice workflows, or client-facing analytics must update privacy policies and client engagement terms before that date.
- ASIC capital markets roadmap (Report 823, November 2025) signals: (a) review of RG 228 and RG 254 (pre-prospectus publicity, disclosure modernisation — update expected current financial year); (b) increased supervision of private markets; (c) streamlining of dual-listing policy. AI policy must be updated as these reforms take effect — AI-generated pre-prospectus materials drafted before the updated RG 254 is finalised may breach advertising restrictions that change on enactment.
- Cross-border transactions (ASX-listed entities with foreign operations, dual-listed structures, Reg S/Rule 144A bonds) require verification that AI-generated disclosure language satisfies both Australian and relevant foreign law — AI systems trained predominantly on US/UK precedent are particularly prone to inserting incompatible US Securities Act (Rule 10b-5), UK FSMA, or EU Prospectus Regulation Article 6 language into Australian disclosure documents.
- Hard timing deadlines in capital markets cannot be missed: the 14-day exposure period for prospectuses (s 727 Corporations Act), the 5-business-day rule for replacement prospectuses (s 719), the 21-day minimum notice period for general meetings (s 249H), and Chapter 6 takeover timetable milestones are statutory. AI-generated timetable advice must be independently verified against the current statutory text and current ASX practice notes — AI has a documented tendency to miscalculate these periods or apply superseded thresholds.
- Murray on behalf of the Wamba Wemba Native Title Claim Group v State of Victoria [2025] FCA 731: Justice Murphy ordered indemnity costs against a Melbourne law firm whose junior solicitor submitted hallucinated citations via Google Scholar without verification. This is the first Federal Court indemnity costs order for AI-fabricated citations in Australia. Handa & Mallick [2024] FedCFamC2F 957: Victorian Legal Services Board imposed supervised practice conditions after AI-hallucinated authorities were submitted. Capital markets practitioners face identical professional obligations.

## Risks to address

How it goes wrong

## Risks to address

Hallucinated ASIC legislative instrument and class order numbers: AI fabricates specific relief instrument identifiers, expiry dates, and ASIC RG paragraph numbers — if inserted into a prospectus or exemption application, this creates a misleading document and may void a reliance defence; the error is plausible-looking and easily missed without primary-source verification. Wrong or outdated ASX Listing Rule text: ASX amends Listing Rules without consistent version control in AI training data; AI may apply a superseded rule threshold (e.g., a Chapter 10 related-party percentage test or a Chapter 11 significance threshold that has changed), or miss a new guidance note, producing advice that is wrong on its face. Prospectus risk factors that are sector-generic rather than issuer-specific: AI generates plausible-sounding but legally inadequate risk disclosure that omits company-specific material risks; a DDC may accept these without recognising the s 728 omission, producing a document with latent civil liability. Misidentification of the applicable disclosure regime: AI may conflate full prospectus requirements with the s 713 short-form pathway, or incorrectly apply a s 708 sophisticated investor exemption to a transaction that requires a disclosure document, creating a fundraising offence and potential criminal liability for the issuer and its officers. Inside information analysis errors: AI may assess a proposed wall-crossing or transaction as lawful without access to all relevant facts, or produce a confident but incorrect analysis of what constitutes 'generally available' information — creating criminal exposure for the client under s 1043A (up to 15 years imprisonment) with ASIC's specialist prosecution team actively looking for such cases. ESG/greenwashing claim fabrication: AI generates sustainability benefit claims for green bond or sustainability-linked bond IMs that are unsupported by the issuer's actual framework or third-party verification — directly engaging ASIC greenwashing enforcement risk in a regime where ASIC has now prevailed in every civil penalty proceeding brought.

- Hallucinated ASIC legislative instrument and class order numbers: AI fabricates specific relief instrument identifiers, expiry dates, and ASIC RG paragraph numbers — if inserted into a prospectus or exemption application, this creates a misleading document and may void a reliance defence; the error is plausible-looking and easily missed without primary-source verification.
- Wrong or outdated ASX Listing Rule text: ASX amends Listing Rules without consistent version control in AI training data; AI may apply a superseded rule threshold (e.g., a Chapter 10 related-party percentage test or a Chapter 11 significance threshold that has changed), or miss a new guidance note, producing advice that is wrong on its face.
- Prospectus risk factors that are sector-generic rather than issuer-specific: AI generates plausible-sounding but legally inadequate risk disclosure that omits company-specific material risks; a DDC may accept these without recognising the s 728 omission, producing a document with latent civil liability.
- Misidentification of the applicable disclosure regime: AI may conflate full prospectus requirements with the s 713 short-form pathway, or incorrectly apply a s 708 sophisticated investor exemption to a transaction that requires a disclosure document, creating a fundraising offence and potential criminal liability for the issuer and its officers.
- Inside information analysis errors: AI may assess a proposed wall-crossing or transaction as lawful without access to all relevant facts, or produce a confident but incorrect analysis of what constitutes 'generally available' information — creating criminal exposure for the client under s 1043A (up to 15 years imprisonment) with ASIC's specialist prosecution team actively looking for such cases.
- ESG/greenwashing claim fabrication: AI generates sustainability benefit claims for green bond or sustainability-linked bond IMs that are unsupported by the issuer's actual framework or third-party verification — directly engaging ASIC greenwashing enforcement risk in a regime where ASIC has now prevailed in every civil penalty proceeding brought.

## Review checklist

The lawyer's review checklist

## Review checklist

Verify every statutory section, ASIC regulatory guide paragraph, ASX Listing Rule, and ASIC legislative instrument number cited in AI output against the primary source at the time of use (legislation.gov.au for Corporations Act and legislative instruments; ASX Online for Listing Rules and guidance notes; ASIC website for regulatory guides) — hallucination rate on instrument references is high and ASIC class order numbers are a known failure mode. Confirm that every factual statement in AI-drafted disclosure documents (prospectus, IM, PDS, continuous disclosure announcement, exemption application) is traced to a verified primary source document held in the DDC working papers — AI-generated content is not a source; each statement must have a numbered cross-reference to the underlying document. Before transmitting any deal-specific information to an AI tool: (a) confirm the tool is firm-approved and operates in an environment that does not use inputs for model training or share data externally; (b) confirm vendor data-handling satisfies ASCR Rule 9 and APP 11; (c) assess whether the information constitutes inside information under s 1042A, which would make transmission to an external AI system an independent legal risk. Check AI-generated legal analysis for foreign-law contamination — specifically US Securities Act (Rule 10b-5, Regulation S, Rule 144A), UK FCA/FSMA, and EU Prospectus Regulation formulations that are inapplicable in an Australian Chapter 6D or ASX Listing Rules context and would be incorrect or confusing to ASIC or ASX if included in a filed document. Confirm all timing deadlines and limitation periods generated by AI against the current text of the Corporations Act and ASX Listing Rules: specifically the 14-day prospectus exposure period (s 727), the 5-business-day replacement prospectus rule (s 719), the 21-day minimum notice period for general meetings (s 249H), and any Chapter 6 takeover timetable milestones applicable to the transaction. For any AI-generated continuous disclosure announcement: (a) confirm the LR 3.1 materiality test is met on the specific issuer and market facts (not AI's generic assessment); (b) confirm whether any LR 3.1A carve-out is validly engaged and has been documented contemporaneously; (c) confirm the announcement is timed to prevent any window of selective disclosure to institutional investors; and (d) note that the fault-element removal for ASIC civil penalty proceedings (TLA FMI Act 2024) means inadvertent breaches are now more readily actionable. Assess whether any AI-generated risk factor, representation, warranty, or ESG claim in a disclosure document or underwriting agreement is issuer-specific and supportable on the known facts — generic boilerplate AI output that omits company-specific material risks is a s 728 omission; sustainability claims that are unsupported by verified frameworks or third-party certification carry active ASIC greenwashing enforcement risk. For any AI-generated opinion, reliance letter, or advice document going to a client or counterparty: confirm that the document has been independently verified by an admitted Australian practitioner who has personally reviewed all underlying materials — AI-drafted content cannot be the substantive basis for any professional certification, and submission of AI-hallucinated content to a court or regulator risks indemnity costs orders (Murray [2025] FCA 731) and disciplinary action (Handa & Mallick [2024]).

- Verify every statutory section, ASIC regulatory guide paragraph, ASX Listing Rule, and ASIC legislative instrument number cited in AI output against the primary source at the time of use (legislation.gov.au for Corporations Act and legislative instruments; ASX Online for Listing Rules and guidance notes; ASIC website for regulatory guides) — hallucination rate on instrument references is high and ASIC class order numbers are a known failure mode.
- Confirm that every factual statement in AI-drafted disclosure documents (prospectus, IM, PDS, continuous disclosure announcement, exemption application) is traced to a verified primary source document held in the DDC working papers — AI-generated content is not a source; each statement must have a numbered cross-reference to the underlying document.
- Before transmitting any deal-specific information to an AI tool: (a) confirm the tool is firm-approved and operates in an environment that does not use inputs for model training or share data externally; (b) confirm vendor data-handling satisfies ASCR Rule 9 and APP 11; (c) assess whether the information constitutes inside information under s 1042A, which would make transmission to an external AI system an independent legal risk.
- Check AI-generated legal analysis for foreign-law contamination — specifically US Securities Act (Rule 10b-5, Regulation S, Rule 144A), UK FCA/FSMA, and EU Prospectus Regulation formulations that are inapplicable in an Australian Chapter 6D or ASX Listing Rules context and would be incorrect or confusing to ASIC or ASX if included in a filed document.
- Confirm all timing deadlines and limitation periods generated by AI against the current text of the Corporations Act and ASX Listing Rules: specifically the 14-day prospectus exposure period (s 727), the 5-business-day replacement prospectus rule (s 719), the 21-day minimum notice period for general meetings (s 249H), and any Chapter 6 takeover timetable milestones applicable to the transaction.
- For any AI-generated continuous disclosure announcement: (a) confirm the LR 3.1 materiality test is met on the specific issuer and market facts (not AI's generic assessment); (b) confirm whether any LR 3.1A carve-out is validly engaged and has been documented contemporaneously; (c) confirm the announcement is timed to prevent any window of selective disclosure to institutional investors; and (d) note that the fault-element removal for ASIC civil penalty proceedings (TLA FMI Act 2024) means inadvertent breaches are now more readily actionable.
- Assess whether any AI-generated risk factor, representation, warranty, or ESG claim in a disclosure document or underwriting agreement is issuer-specific and supportable on the known facts — generic boilerplate AI output that omits company-specific material risks is a s 728 omission; sustainability claims that are unsupported by verified frameworks or third-party certification carry active ASIC greenwashing enforcement risk.
- For any AI-generated opinion, reliance letter, or advice document going to a client or counterparty: confirm that the document has been independently verified by an admitted Australian practitioner who has personally reviewed all underlying materials — AI-drafted content cannot be the substantive basis for any professional certification, and submission of AI-hallucinated content to a court or regulator risks indemnity costs orders (Murray [2025] FCA 731) and disciplinary action (Handa & Mallick [2024]).

## Tasks (30)

| Task | Level | How AI is used | What the lawyer must review |
| --- | --- | --- | --- |
| [Draft prospectus or offering-document sections and a verification notes table](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/draft-prospectus-or-offering-document-sections-and-a-verification-notes.md) | Yellow | Draft named offer-document sections from the source files and build a verification-notes table of material statements that still lack a source. | Trace every factual claim to a primary source Leave forward-looking statements and risk factors to the due-diligence committee |
| [Draft a market-disclosure announcement and consistency check](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/draft-a-market-disclosure-announcement-and-consistency-check.md) | Yellow | Draft and redraft the announcement wording with the lawyer, from the lawyer's facts brief and the lawyer's recorded materiality assessment.… | Materiality and disclosure timing under the listing rules and the continuous-disclosure provisions are real-time legal judgments for the lawyer.… |
| Run the due-diligence committee inquiry list against the file | Yellow | Map DDC questions to supplied answers and source documents, and list unanswered items, inconsistencies and statements in the offer document that lack a… | Source every verification note in a primary document Leave the decision that due diligence is complete to the committee |
| Draft or redline the underwriting or subscription agreement | Yellow | Produce a first draft or issues list on conditions, termination events, indemnities, lock-up and settlement mechanics against the firm's precedent. | Check termination and force majeure against the actual offer timetable Confirm indemnities and selling restrictions match the jurisdictions of distribution |
| Draft the information memorandum and investor presentation from source files | Yellow | Build a first-draft IM structure and slide outline from the provided financials, business description and risk list, and flag claims that have no source on… | Trace every financial and business claim to a source Remove overstatement; it is a disclosure problem in every market |
| [Draft a regulator relief or no-action request from the transaction facts](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/draft-a-regulator-relief-or-no-action-request-from-the-transaction-facts.md) | Yellow | Draft a first-pass relief or no-action request from the transaction facts, listing the tests to address and every instrument cited for you to check. | Verify every cited instrument on the regulator's current register Check instrument numbers; AI often invents them Do not lodge a generated application |
| [Draft product-disclosure and distribution documents for a listed product](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/draft-product-disclosure-and-distribution-documents-for-a-listed-product.md) | Yellow | Produce first-draft product-disclosure and distribution documents from the product description, with a list of fee, risk and distribution points to confirm. | Check statutory content, licence scope and distribution conditions yourself Check fees and review triggers; generic templates often get them wrong |
| [Draft wall-crossing, window and information-barrier protocols for the deal](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/draft-wall-crossing-window-and-information-barrier-protocols-for-the-dea.md) | Red | From the deal timetable and insider list, draft wall-crossing scripts, a blackout calendar and an information-barrier memo for lawyer review. | Decide yourself whether a person has inside information Treat the protocol as a process aid, not a clearance to trade |
| [Map listing-rule issues: related-party, escrow and change of activities](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/map-listing-rule-issues-related-party-escrow-and-change-of-activities.md) | Yellow | From the transaction facts and the current listing rules on the file, table related-party, escrow and change-of-activities issues with rule cites to verify. | Check every cited rule on the live exchange text Apply exceptions and escrow classifications to the specific facts |
| [Draft the due-diligence or reliance opinion from the verified file](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/draft-the-due-diligence-or-reliance-opinion-from-the-verified-file.md) | Red | Build a structured opinion outline from the verified sources and the requested opinion scope, listing assumptions and qualifications to check. | Rewrite the opinion as the signing partner Match assumptions, qualifications and the law stated to the verified file |
| Extract selling restrictions and transfer limits from the offer documents | Green | Table jurisdiction-by-jurisdiction selling restrictions, legend language and lock-up/escrow terms with clause references. | Confirm the restrictions match the actual distribution plan Confirm them against current local law advice |
| Calculate the placement capacity left under Listing Rules 7.1 and 7.1A | Green | Populate the capacity working from the share movement history and a prior-issue list the lawyer has already classified by exception, showing every input, the… | The lawyer classifies each prior issue and the exception it falls in, confirms variable A against the register, and approves the final number before it is… |
| Build the investor eligibility record for an offer made without disclosure | Green | Draft the eligibility schedule from the allocation list and the evidence folder against the exemption the lawyer has selected for each investor, and list… | The lawyer selects the exemption for each investor, tests the evidence against the provision relied on, and confirms no offer preceded the evidence before any… |
| Prepare the Appendix 3B and Appendix 2A lodgement data for an issue of securities | Green | Populate the prescribed form fields from the board resolution, the register and the offer timetable, carry through the capacity figures already settled, and… | The lawyer checks every figure against the resolution and register, confirms which notification rule and deadline applies, and reads the Appendix 2A… |
| Check the notice of meeting against the listing-rule information requirements | Green | Compare the lawyer's draft notice against the information items the applicable rule prescribes for each resolution and list what is absent, inconsistent with… | The lawyer settles which rule each resolution engages, drafts the notice and the voting exclusion statements, and resolves every gap the table raises before… |
| Build the restricted securities schedule and populate the ASX restriction deeds | Green | Extract each holder's acquisition date, consideration and class from the register and subscription documents into the schedule, and fill the party, date and… | The lawyer assigns the escrow category and period for every holder, identifies the controllers who must also sign, and checks each schedule line against the… |
| Build the issuer capacity and authorisation record for a note or hybrid issue | Green | Extract the borrowing, guarantee and execution powers and limits from the constituting documents, resolutions and approvals into the authority schedule, and… | The lawyer decides what power and approvals the issue actually requires, reads each instrument in full rather than the extract, and resolves every gap before… |
| Prepare the cleansing notice and the excluded-information record | Yellow | Assemble the conditions record — continuous quotation period, days of suspension, disclosure compliance — and work with the lawyer on the notice wording.… | The lawyer determines whether any excluded information exists, tests each condition against the facts and the current form of the provision relied on, and… |
| Prepare a substantial holding notice and the relevant-interest trace | Yellow | Build the movement and voting power table from the trade and holding records, identify the agreements that must be annexed, and help the lawyer describe the… | The lawyer determines the relevant interests, the associates and the date of awareness, confirms the currently prescribed form of notice, and lodges within… |
| Prepare the employee incentive offer document and its cap record | Yellow | Draft the offer document sections from the plan rules and the board's approved grant terms under the lawyer's direction, and build the issue cap calculation… | The lawyer confirms the regime and relief relied on, tests each condition, checks the cap calculation against the constitution's specified cap, and approves… |
| Build the disclosure decision record for a market-sensitive development | Red | Index the emails, board papers and file notes into a who-knew-what-when chronology, extract the material bearing on each limb of the confidentiality… | The lawyer and the disclosure committee decide whether the information is market sensitive, whether the carve-out still applies and what is announced, and… |
| Answer an ASX price or volume query | Red | Assemble the trading, announcement and internal knowledge timeline for the period queried, index the material behind each question, and compare the lawyer's… | The lawyer makes the enquiries of the officers, decides what the entity is and is not aware of, and writes the answers;… |
| [Review AI-capability claims in a prospectus or investor deck](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/review-ai-capability-claims-in-a-prospectus-or-investor-deck.md) | Yellow | Flag AI statements needing verification ("AI washing"). | Due-diligence committee verifies each claim. |
| [Advise a board on privilege risk from directors' AI use](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/advise-a-board-on-privilege-risk-from-directors-ai-use.md) | Yellow | Draft board guidance on putting legal advice into AI tools. | Lawyer settles privilege analysis. |
| [Build an AI-disclosure verification schedule](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/build-an-ai-disclosure-verification-schedule.md) | Yellow | List each AI statement with source document and verifier. | Verification by responsible officer. |
| [Prepare an AI risk-factor section for an offer document](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/prepare-an-ai-risk-factor-section-for-an-offer-document.md) | Yellow | Draft risk factors from the issuer's AI use. | Lawyer and issuer confirm accuracy. |
| [Summarise precedent ASX announcements for drafting](https://ailawframework.com/practice/capital-markets-and-securities-ecm-dcm-and-disclosure/summarise-precedent-asx-announcements-for-drafting.md) | Green | Pull comparable announcements into a precedent table. | Check each against ASX platform. |
| Review fundraising documents for "AI-washing" disclosure risk | Yellow | Flag AI capability claims that need verification. | Lawyer assesses misleading-disclosure risk. |
| Assess continuous-disclosure risk from algorithmic trading reactions | Yellow | Map AI-driven market reactions to disclosure policy. | Lawyer advises. |
| Draft board minutes with privilege-safe AI note-taking guidance | Green | Draft protocol for AI note-takers at board meetings. | GC approves. |

## Jurisdiction notes

### Australia

#### Law

Offers and ongoing disclosure are governed by the Corporations Act 2001 (Cth), the ASX Listing Rules and ASIC regulatory guides.

#### Liability

Wrong statutory references, materiality thresholds or missed disclosure triggers expose issuers, underwriters, advisers and lawyers to liability under ss 728–731, ASIC enforcement and class actions.

#### Privilege

Routing privileged advice through an external AI tool may waive privilege.

#### Confidentiality

ASCR r 9 applies as soon as deal information is entered into an AI system the firm does not control.

### New Zealand

Local name: Capital markets and securities (FMCA / FMA / NZX)

#### Offers and disclosure

Financial Markets Conduct Act 2013 and the Financial Markets Authority govern offers, continuous disclosure for listed issuers and most capital-markets licences.

#### Listing

NZX under NZX rules approved under the FMCA, not the ASX Listing Rules.

#### Takeovers

The Takeovers Panel administers the Takeovers Act 1993 for listed companies.

#### Not Australian law

Chapter 6D prospectus and PDS language from the Corporations Act does not apply.

- Do not use ASX Listing Rule numbers or ASIC regulatory-guide citations in a New Zealand offer document.

Sources:

- [Financial Markets Conduct Act 2013](https://www.legislation.govt.nz/act/public/2013/69/en/latest/) (checked 2026-09-23)
- [Companies Office: legislation for our registers](https://www.companiesoffice.govt.nz/about-us/what-we-do/our-legislation/) (checked 2026-09-23)
- [Takeovers Panel](https://www.takeovers.govt.nz/) (checked 2026-09-23)

### United States

Local name: Capital markets and securities — ECM/DCM and disclosure

#### Governing law

Securities Act of 1933, Exchange Act of 1934, Advisers Act and SEC rules replace ASIC/ASX continuous-disclosure machinery.

#### AI washing

In March 2024 the SEC settled charges against two advisers for false statements about their AI use, with penalties of $225,000 and $175,000.

#### AI claims

Any description of an issuer's or adviser's AI capability in a filing, marketing piece or Form ADV must be true.

- Do not file or publish an AI-capability claim you have not verified against the client's actual systems.

Sources:

- [SEC press release 2024-36, charges against two investment advisers for AI-related misstatements](https://www.sec.gov/newsroom/press-releases/2024-36) (checked 2026-09-23)
- [ABA Formal Opinion 512, Generative Artificial Intelligence Tools (29 July 2024)](https://www.americanbar.org/content/dam/aba/administrative/professional_responsibility/ethics-opinions/aba-formal-opinion-512.pdf) (checked 2026-09-23)

*Practice guidance for planning and review. Confirm current primary sources and the requirements of the actual matter. This is general information, not legal advice.*