New opportunity

Senior AI Product Manager | Hamilton Locke | Sydney

Hamilton Locke · Sydney, Australia

About this role

Hamilton Locke seeks a Senior AI Product Manager in Sydney to own adoption of Legora and future AI tools across the firm. Reporting jointly to the Head of Technology and the Director of Business Performance, the role connects technology, legal practice and firm strategy.

Responsibilities

Serve as product owner and first point of contact for Legora and other AI tools. Set the Legora roadmap, prioritising features, agents and workflows against practice-group needs and firm strategy; manage vendor relationships, escalations, feature requests and commercial or licensing matters.
Work with partners and lawyers to discover use cases, translate legal workflows and pain points into configured tools and prompts, and implement capabilities that improve legal work. Collect user feedback and maintain a continuous-improvement backlog.
Deliver training, user guides and rollout communications; build a network of practice-group champions. Track adoption, usage and satisfaction, and report outcomes to stakeholders.
Support the broader AI strategy, including evaluating and deploying tools for functions beyond legal practice, such as finance and HR. Run vendor pilots, assess costs, benefits and risks, and contribute to responsible-AI governance and policies addressing privacy, confidentiality and professional obligations.

Qualifications

Demonstrated, deep experience in product management, product ownership or technology enablement, with a record of driving technology adoption in professional services or another regulated environment. Experience with AI, legal technology or enterprise software is preferred; no number of years is specified.
Hands-on experience configuring, administering or rolling out AI or automation tools, including prompt design, workflow or agent configuration, and integration considerations. Strong stakeholder management, requirements gathering, training, change management, analytical and communication skills are required, along with awareness of data privacy, information security and ethical considerations.
Interest in legal services and AI is essential. Understanding legal workflows and the practice of law is highly regarded but not essential.

Benefits include professional development and mentoring, a competitive remuneration package including equity under the Group’s ESS, an extra week of personal-development leave, and full-day birthday leave. No salary amount is stated.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

AI product managementProduct roadmappingLegoraGenerative AIPrompt designAI agent configurationWorkflow configurationTechnology adoptionStakeholder managementRequirements gatheringVendor managementUser trainingChange managementProduct analyticsCost-benefit analysisData privacyInformation securityAI governanceCommunication

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Own the Legora roadmap and vendor relationship
The role owns Legora’s roadmap, prioritises features, agents and workflows against practice-group needs and firm strategy, and handles vendor escalations, feature requests and licensing matters. Prepare a clear example of how you prioritised competing requests and managed an external supplier.
Turn legal workflows into usable AI tools
The posting calls for discovery with partners and lawyers, followed by hands-on configuration of prompts, agents and workflows. Prepare to explain how you would move from a specific workflow pain point through testing and user feedback to an improved configuration.
Make adoption measurable and sustainable
The role leads training, guides and rollout communications, supports practice-group champions, and reports adoption, usage and satisfaction. Prepare an approach that connects these measures and user feedback to a continuous-improvement backlog.
Evaluate AI opportunities beyond legal practice
The remit includes piloting and assessing tools for functions such as finance and HR, with attention to costs, benefits and risks. Prepare to describe how you would compare a pilot’s practical value with its cost and deployment implications.
Contribute to responsible-AI governance
The posting names privacy, confidentiality and professional obligations in tool assessments and asks the product manager to contribute to governance frameworks and policies. Prepare to explain how these considerations would shape evaluation and rollout decisions.

Likely challenges to think through

Reconciling practice-group demands with firm priorities
Likely challenge, not a stated employer problem: different groups may want different workflows while the Legora roadmap must serve firm strategy. Prepare a prioritisation approach that makes expected value, effort and stakeholder trade-offs visible.
Moving quickly without weakening safeguards
Likely challenge: pilots and hands-on configuration can create pressure to deploy before privacy, confidentiality and professional-obligation risks are understood. Prepare a staged evaluation approach with explicit review points before wider rollout.
Driving change without direct authority
Likely challenge: the posting expects engagement with partners and senior lawyers and adoption without direct authority. Prepare an example of earning support through discovery, relevant training and feedback rather than relying on a mandate.

Practice your answers

Technical practice

How would you prioritise Legora features, agents and workflows across practice groups?

What to coverThe role owns the Legora roadmap and must align it with practice-group needs and firm strategy. Preparation suggestion: explain how you would weigh user feedback, expected value, risk and effort, then turn decisions into a clear backlog.

How would you turn a lawyer’s workflow problem into an AI use case?

What to coverThe posting calls for discovery with partners and lawyers and translation of practice-specific pain points into configured tools and prompts. Preparation suggestion: describe the questions you would ask, how you would define the task and how you would check that the proposed use case improves the work.

How would you configure and test an AI agent or workflow before rollout?

What to coverHands-on workflow and agent configuration is part of the role. Preparation suggestion: cover task boundaries, testing with representative examples, review by users and the trade-off between useful automation and appropriate human oversight.

How would you improve a prompt that produces inconsistent results?

What to coverThe posting names prompt design, testing and continuous improvement of prompts. Preparation suggestion: explain how you would isolate the failure, revise instructions or context, and compare outputs against agreed criteria without assuming a particular Legora feature.

What integration considerations would you examine when rolling out an AI tool?

What to coverIntegration considerations are explicitly included in the requested hands-on experience. Preparation suggestion: discuss information flow, access, security and how the tool fits the users’ existing workflow, while making clear that the posting specifies no particular integration.

How would you handle a recurring tool issue with an AI vendor?

What to coverThe product owner manages vendor relationships, issue escalations, feature requests and commercial or licensing matters. Preparation suggestion: explain how you would establish impact, provide reproducible evidence, agree on next steps and keep affected users informed.

How would you measure whether an AI-tool rollout is delivering value?

What to coverThe role tracks adoption, usage and satisfaction and reports outcomes to stakeholders. Preparation suggestion: distinguish activity from useful outcomes, explain how you would gather feedback, and note the limits of each measure.

How would you design training for a new Legora capability?

What to coverThe posting calls for training programmes, user guides, rollout communications and practice-group champions. Preparation suggestion: describe how you would tailor guidance to a specific workflow, support users after launch and use questions or feedback to improve the materials.

How would you evaluate a pilot of an AI tool for finance or HR?

What to coverThe broader AI remit includes tools beyond legal practice, vendor pilots, cost-benefit analysis and risk considerations. Preparation suggestion: set a defined use case and evaluation criteria, then compare observed benefits, costs and risks before recommending whether to proceed.

What would responsible-AI governance need to address in a law firm?

What to coverThe role contributes to policies concerning privacy, confidentiality and professional obligations, and calls for awareness of information security and ethics. Preparation suggestion: explain how clear usage boundaries, review responsibilities and escalation paths could help manage those concerns; do not assume an existing firm policy.

Behavioural practice

Tell me about a time you aligned senior stakeholders with competing product priorities.

What to coverThe role involves partners, lawyers and firm strategy, with change often driven without direct authority. Preparation suggestion: use a real situation, the actions you took to understand and resolve the competing needs, and the resulting decision or outcome.

Describe a time you helped a hesitant group adopt a new tool or process.

What to coverThe posting emphasises training, communications, champions and sustained adoption. Preparation suggestion: give a real situation, the actions you took in response to concerns, and the observed result rather than assuming that training alone secured adoption.

Tell me about a time you managed a difficult vendor issue.

What to coverVendor escalation and relationship management are stated responsibilities. Preparation suggestion: set out the real issue and its impact, what you did with the vendor and users, and how the situation was resolved or contained.

Describe a time you built a workable process amid ambiguity.

What to coverThe posting values building processes and frameworks from scratch in a fast-moving environment. Preparation suggestion: explain the real starting situation, the practical steps you took and what the result showed about the process.

Tell me about a time you explained a technical risk to a non-technical audience.

What to coverThe role requires explaining AI concepts clearly and engaging legal and business-services stakeholders. Preparation suggestion: use a real situation, describe how you adapted the explanation and checked understanding, and state the resulting decision or action.

Sharpen your knowledge

Topics to prepare

Legora product ownership and roadmap trade-offs
The posting assigns ownership of the Legora roadmap, aligned with practice-group needs and firm strategy. Suggested revision exercise: compare three hypothetical requests for features, agents or workflows and explain the priority, trade-offs and decision you would communicate to stakeholders.
Legal workflows and use-case selection
The role involves finding practice-specific pain points; knowledge of legal workflows is highly regarded, not essential. Suggested revision exercise: map a hypothetical lawyer's task from input to review and delivery, then identify where AI might help and where lawyer review remains important.
Responsible AI in a law firm
The posting names privacy, confidentiality, information security and professional obligations in tool evaluation and governance. Suggested revision exercise: outline questions you would ask before approving a hypothetical use case involving client material, without assuming the firm's policies.
Adoption and value measurement
The role tracks adoption, usage and satisfaction and reports outcomes; the qualifications also call for value metrics. Suggested revision exercise: distinguish those measures in a sample rollout and explain what each would—and would not—show about improvement to legal work.
Vendor and pilot decisions
The posting covers vendor relationships, licensing matters, pilots, cost-benefit analysis and risk. Suggested revision exercise: draft decision criteria for a hypothetical AI-tool pilot, including user benefit, cost, integration considerations and compliance risks.

Skills to revise

Facilitate discovery with partners and lawyers
The posting requires discovery sessions and requirements gathering. Suggested practice: role-play a 20-minute session, asking about the current workflow, pain points, inputs, review steps and desired outcome; turn the answers into a concise use-case statement.
Design and test prompts and workflows
Hands-on prompt design and workflow or agent configuration are stated qualifications. Suggested practice: using fictional, non-confidential material, draft a prompt and workflow outline, test ambiguous inputs, and record where human review is needed. Do not assume access to particular Legora features.
Triage feedback into a product backlog
The role owns the user feedback loop and continuous-improvement pipeline. Suggested practice: sort hypothetical feedback into defects, configuration changes, training needs and feature requests; write the next action and rationale for each.
Prepare a rollout and training package
The posting calls for training, user guides, communications and practice-group champions. Suggested practice: draft a short user guide and partner-facing rollout message for a hypothetical capability, then plan how champions would surface questions and feedback.
Report a pilot recommendation
The role assesses vendors and reports adoption and outcomes to stakeholders. Suggested practice: turn fictional pilot results into a one-page recommendation covering usage, satisfaction, costs, risks, unresolved questions and whether to expand, revise or stop the pilot.

Your preparation checklist

Prepare a product ownership case study
Bring a concise walkthrough of a technology product you owned or enabled: the problem, stakeholders, decisions, adoption approach and measured outcomes. The role calls for product ownership and a track record of adoption in professional services or a similarly regulated environment.
Draft a practice-group discovery exercise
Prepare questions for partners and lawyers about a workflow, its pain points and success measures. Then show how you would turn the answers into requirements, a testable prompt or agent concept, and integration questions. Keep the example hypothetical and avoid client data.
Build an illustrative Legora roadmap
Create a one-page example showing how you would rank feature requests, agents and workflows against practice-group needs and firm strategy. Include a small feedback backlog and explain how you would revisit priorities; do not present the example as Hamilton Locke’s actual roadmap.
Show a rollout and measurement plan
Outline a sample user guide, training session, rollout communication and practice-group champion approach. Specify adoption, usage and satisfaction measures, plus how feedback would reach stakeholders and inform improvements.
Prepare a vendor-pilot decision brief
Use a hypothetical AI tool, potentially for finance or HR, to show pilot scope, costs and benefits, evaluation criteria and a recommendation. Include how you would handle vendor issues, feature requests and licensing questions, which the role explicitly covers.
Map responsible-AI safeguards
Write a short checklist of questions to resolve before configuring or deploying a tool, covering data privacy, confidentiality, information security and professional obligations. Explain how findings would affect a pilot or rollout rather than assuming the firm’s policies.
Bring targeted questions for the employer
Ask how the Head of Technology and Director of Business Performance divide decisions, which practice-group needs are most pressing, how Legora adoption is measured today, and what governance or vendor decisions the product owner would lead.

Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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