Melbourne Legal Transformation and Technology Summit 2027

Beat the rush and join us early for complimentary barista-made coffee and breakfast.

As legal departments increasingly own technology decisions once left entirely to IT, this opening keynote examines how General Counsel and legal leaders are stepping into a strategic role they weren't necessarily trained for, and sets the tone for a day exploring what that means for legal operations, risk, and the profession itself.

• How legal departments are repositioning themselves within the business as AI and automation change what legal work actually looks like day to day.
• What level of technical fluency legal leaders genuinely need to make sound technology decisions and challenge vendor claims, without needing to become engineers.
• Where does AI genuinely reduce legal risk versus introduce new forms of it, and how do legal teams build the judgment to tell the difference?

As law firms and in-house teams increasingly run AI tools over privileged communications, confidential client data, and sensitive matter files, this keynote examines the unresolved questions around privilege waiver, confidentiality obligations, and data handling that most legal AI deployments haven't fully answered.

• Unpacking the genuine legal uncertainty around whether processing privileged material through third-party AI tools creates waiver risk, and how conservative or aggressive different practitioners are being.
• What legal teams need to actually verify about how AI vendors store, train on, and delete client data, versus what most currently take on faith.
• How legal teams are setting their own policies for what can and can't go into AI tools, given that professional conduct guidance is still catching up to the technology.

As both corporate legal departments and law firms adopt AI at different paces and for different purposes, this panel explores how the balance of work, expectations, and value is shifting between in-house teams and their external counsel.

• Examining whether in-house teams or law firms are moving faster on AI adoption, and what that pace difference is doing to expectations on both sides.
• How billing models and fee arrangements are being challenged as AI reduces the time certain legal tasks take to complete.
• How corporate legal departments are using their own AI fluency to set new expectations for efficiency and transparency from outside counsel.

Facing pressure to accelerate contract review with AI while remaining acutely aware of privilege and confidentiality risk, one General Counsel built a deployment framework that let the legal team use AI tools on sensitive documents without exposing the organisation to waiver arguments.

• How the team worked through the genuine legal uncertainty around AI and privilege before committing to a tool or workflow, rather than assuming the risk away.
• The specific questions the team put to AI vendors about data retention, training use, and deletion rights before signing any contract.
• How the team created different AI usage rules depending on whether a document was privileged, confidential, or routine, rather than applying one blanket policy.

A hands-on, interactive session working through a real legal transformation scenario as a room. Details announced soon.

After noticing junior lawyers were losing opportunities to develop core legal judgment as AI took over first-draft work, one law firm partner rebuilt their training program to deliberately preserve the skill-building that used to happen through drafting from scratch.

• How the firm recognised early signs that junior lawyers reviewing AI output weren't developing the same underlying judgment as those who'd drafted from a blank page.
• The specific training design choices made to ensure junior lawyers still built foundational skills, even while AI handled much of day-to-day drafting.
• How performance expectations shifted to emphasise judgment and AI output review skills, rather than raw drafting speed.

After narrowly avoiding submitting AI-generated case citations that turned out to be fabricated, one litigation team built a verification process specifically designed to catch AI hallucinations before they reached any external-facing document.

• How confident, well-formatted AI output nearly bypassed normal scrutiny because it looked credible on its face.
• The specific checkpoints the team introduced requiring independent verification of any case law or citation touched by AI before filing.
• How the team addressed the human tendency to trust well-written AI text, even among experienced lawyers who knew intellectually that AI could be wrong.

As AI-assisted work increasingly informs legal strategy, contracts, and filings, this panel examines whether current AI tools can withstand the level of scrutiny litigation, regulatory review, or client challenge might eventually demand.

• Unpacking the gap between a vendor's marketing claims about explainability and what would genuinely satisfy a court or regulator.
• Lessons from early cases and disputes where AI involvement in legal work has come under scrutiny, and what that reveals about vulnerability.
• How legal teams are establishing internal standards for verifying AI output before it's tested by an adversary or regulator, rather than discovering gaps under pressure.

Small-group, discussion-based sessions where you'll work through real legal transformation challenges with peers in similar roles. Roundtable topics will be announced soon.

Put your knowledge to the test in this fast-paced quiz covering real-world trivia, key concepts, and emerging trends. Compete for bragging rights — and a voucher — as the top scorer takes the crown.

With matter management, e-billing, and contract data scattered across disconnected systems built up over years, one legal operations leader consolidated visibility into legal spend and performance without requiring a full platform replacement.

• How the team discovered significant gaps and duplication across systems before designing any consolidation approach.
• Why the solution focused on connecting and normalising data across existing tools rather than requiring a costly rip-and-replace of legal ops infrastructure.
• How unified visibility into spend and matter performance strengthened the legal department's negotiating position with external law firms.

As legal departments deploy AI across contract management, compliance monitoring, and legal research, this closing keynote examines what defensible AI governance actually looks like for a function that will itself be scrutinised for how responsibly it used the technology.

• How legal teams are establishing oversight over vendor-provided AI tools where the underlying model and its limitations aren't fully visible to them.
• What legal departments need to be recording about their AI use and decision-making to defend those practices if challenged later.
• Why legal's own AI governance practices are increasingly looked to as a model, or a cautionary tale, for how the broader organisation approaches AI risk.

With most legal AI capability coming from third-party vendors rather than in-house development, this panel brings together legal operations and technology leaders to discuss how they're managing risk and oversight over tools whose underlying models and limitations they can't fully see.

• The practical limits of due diligence when a vendor's model, training data, and update processes remain largely opaque.
• Which indemnification, audit rights, and data handling clauses have proven meaningful in practice, versus those that look reassuring on paper but offer little real protection.
• What happens to legal department resilience and negotiating leverage as fewer vendors dominate the legal AI space.

Unwind with your peers for a couple of drinks on us!

Beat the rush and join us early for complimentary barista-made coffee and breakfast.

As legal departments increasingly own technology decisions once left entirely to IT, this opening keynote examines how General Counsel and legal leaders are stepping into a strategic role they weren't necessarily trained for, and sets the tone for a day exploring what that means for legal operations, risk, and the profession itself.

• How legal departments are repositioning themselves within the business as AI and automation change what legal work actually looks like day to day.
• What level of technical fluency legal leaders genuinely need to make sound technology decisions and challenge vendor claims, without needing to become engineers.
• Where does AI genuinely reduce legal risk versus introduce new forms of it, and how do legal teams build the judgment to tell the difference?

As law firms and in-house teams increasingly run AI tools over privileged communications, confidential client data, and sensitive matter files, this keynote examines the unresolved questions around privilege waiver, confidentiality obligations, and data handling that most legal AI deployments haven't fully answered.

• Unpacking the genuine legal uncertainty around whether processing privileged material through third-party AI tools creates waiver risk, and how conservative or aggressive different practitioners are being.
• What legal teams need to actually verify about how AI vendors store, train on, and delete client data, versus what most currently take on faith.
• How legal teams are setting their own policies for what can and can't go into AI tools, given that professional conduct guidance is still catching up to the technology.

As both corporate legal departments and law firms adopt AI at different paces and for different purposes, this panel explores how the balance of work, expectations, and value is shifting between in-house teams and their external counsel.

• Examining whether in-house teams or law firms are moving faster on AI adoption, and what that pace difference is doing to expectations on both sides.
• How billing models and fee arrangements are being challenged as AI reduces the time certain legal tasks take to complete.
• How corporate legal departments are using their own AI fluency to set new expectations for efficiency and transparency from outside counsel.

Facing pressure to accelerate contract review with AI while remaining acutely aware of privilege and confidentiality risk, one General Counsel built a deployment framework that let the legal team use AI tools on sensitive documents without exposing the organisation to waiver arguments.

• How the team worked through the genuine legal uncertainty around AI and privilege before committing to a tool or workflow, rather than assuming the risk away.
• The specific questions the team put to AI vendors about data retention, training use, and deletion rights before signing any contract.
• How the team created different AI usage rules depending on whether a document was privileged, confidential, or routine, rather than applying one blanket policy.

A hands-on, interactive session working through a real legal transformation scenario as a room. Details announced soon.

After noticing junior lawyers were losing opportunities to develop core legal judgment as AI took over first-draft work, one law firm partner rebuilt their training program to deliberately preserve the skill-building that used to happen through drafting from scratch.

• How the firm recognised early signs that junior lawyers reviewing AI output weren't developing the same underlying judgment as those who'd drafted from a blank page.
• The specific training design choices made to ensure junior lawyers still built foundational skills, even while AI handled much of day-to-day drafting.
• How performance expectations shifted to emphasise judgment and AI output review skills, rather than raw drafting speed.

After narrowly avoiding submitting AI-generated case citations that turned out to be fabricated, one litigation team built a verification process specifically designed to catch AI hallucinations before they reached any external-facing document.

• How confident, well-formatted AI output nearly bypassed normal scrutiny because it looked credible on its face.
• The specific checkpoints the team introduced requiring independent verification of any case law or citation touched by AI before filing.
• How the team addressed the human tendency to trust well-written AI text, even among experienced lawyers who knew intellectually that AI could be wrong.

As AI-assisted work increasingly informs legal strategy, contracts, and filings, this panel examines whether current AI tools can withstand the level of scrutiny litigation, regulatory review, or client challenge might eventually demand.

• Unpacking the gap between a vendor's marketing claims about explainability and what would genuinely satisfy a court or regulator.
• Lessons from early cases and disputes where AI involvement in legal work has come under scrutiny, and what that reveals about vulnerability.
• How legal teams are establishing internal standards for verifying AI output before it's tested by an adversary or regulator, rather than discovering gaps under pressure.

Small-group, discussion-based sessions where you'll work through real legal transformation challenges with peers in similar roles. Roundtable topics will be announced soon.

Put your knowledge to the test in this fast-paced quiz covering real-world trivia, key concepts, and emerging trends. Compete for bragging rights — and a voucher — as the top scorer takes the crown.

With matter management, e-billing, and contract data scattered across disconnected systems built up over years, one legal operations leader consolidated visibility into legal spend and performance without requiring a full platform replacement.

• How the team discovered significant gaps and duplication across systems before designing any consolidation approach.
• Why the solution focused on connecting and normalising data across existing tools rather than requiring a costly rip-and-replace of legal ops infrastructure.
• How unified visibility into spend and matter performance strengthened the legal department's negotiating position with external law firms.

As legal departments deploy AI across contract management, compliance monitoring, and legal research, this closing keynote examines what defensible AI governance actually looks like for a function that will itself be scrutinised for how responsibly it used the technology.

• How legal teams are establishing oversight over vendor-provided AI tools where the underlying model and its limitations aren't fully visible to them.
• What legal departments need to be recording about their AI use and decision-making to defend those practices if challenged later.
• Why legal's own AI governance practices are increasingly looked to as a model, or a cautionary tale, for how the broader organisation approaches AI risk.

With most legal AI capability coming from third-party vendors rather than in-house development, this panel brings together legal operations and technology leaders to discuss how they're managing risk and oversight over tools whose underlying models and limitations they can't fully see.

• The practical limits of due diligence when a vendor's model, training data, and update processes remain largely opaque.
• Which indemnification, audit rights, and data handling clauses have proven meaningful in practice, versus those that look reassuring on paper but offer little real protection.
• What happens to legal department resilience and negotiating leverage as fewer vendors dominate the legal AI space.

Unwind with your peers for a couple of drinks on us!