Law In Order helps firms of all sizes manage complex insolvency matters with confidence - delivering regulator-ready outcomes, cost control, and strategic clarity.
When faced with high volumes of data, multi-party collaboration, and regulatory scrutiny, Law In Order helps you respond quickly and strategically – without investing in internal infrastructure or software licensing.
If you’re preparing for a complex liquidation or managing a high-volume administration, our team are here to streamline your recovery proceedings and support efficient counsel briefs and defensible evidence preparation.
Use advanced analytics to reduce review volumes and surface relevant content fast. Used to identify communications around asset transfers and director awareness of insolvency – before full-scale review begins.
Leverage AI-powered workflows to detect anomalies, patterns and critical signals in large datasets. This enables faster identification of relation-back period payments and unusual director transactions, accelerating the review process and supporting recovery actions.
including ledgers, handwritten notes, contracts - for searchability and review during insolvency investigations and proceedings.
to creditor claims, PPSR interests and intercompany loans to support efficient briefing of counsel and regulator submissions.
for ASIC, counsel and court, ensuring compliance and clarity.
for hearings, creditor meetings and cross-border litigation and print high-quality affidavits, exhibits and stakeholder briefings on-demand.
Law In Order operates under strict security protocols to ensure your data remains confidential, compliant and protected throughout the lifecycle of your matter.
Our systems and processes meet internationally recognised standards for information security management, ensuring robust protection against data breaches and unauthorised access.
Law In Order enables firms without in-house eDiscovery infrastructure to deliver results that rival top-tier practices. Our on-demand model provides:
We help you stay agile, reduce overheads, and focus on legal strategy – while we manage the technical complexity behind the scenes.
In this article we explore how legal technology and AI tools can support each stage of a director misconduct investigation to manage data more efficiently, while maintaining defensibility.
Learn how Law In Order extracted key data from over 8,000 contracts in under 24 hours using Cicero AI, supported by human QA for validation and
Inhouse counsel are often the first to be called on to manage an internal investigation. How can you effectively plan for and manage these investigations?
We provide a full suite of on-demand, fully managed legal tech services tailored to insolvency professionals, including:
All services are scalable and delivered by experts—no internal infrastructure required.
Outsourcing to Law In Order eliminates the need to:
Instead, you access expert services only when needed, reducing overhead and accelerating turnaround times.
Yes. Our processes are ISO-certified and designed to meet evidentiary, regulatory and court requirements across jurisdictions. We ensure all outputs are compliant, consistent and defensible.
Absolutely. We specialise in high-pressure and high-volume matters. Our teams can mobilise quickly to meet court-imposed deadlines, urgent investigations or last-minute bundle preparation.
No. All services are fully managed and delivered via secure platforms hosted by Law In Order. You don’t need to install, configure or maintain any software – we handle everything for you.
Security is central to our operations. We use ISO 27001-certified infrastructure, encrypted data transfer, and strict access controls. Your data is handled with confidentiality and stored securely in Australia.
Yes. Law In Order regularly support multi-party insolvency matters involving law firms, administrators, creditors and regulators. Our platforms enable secure collaboration and controlled access for all stakeholders.
Law In Order’s services are adaptable to the scale and complexity of each case, including:
