Diligent Performer: DDLoop

Due diligence is one of those areas of legal practice where highly skilled lawyers still spend substantial amounts of time assembling, checking and updating information from multiple sources.

Australian startup DDLoop is trying to rethink that process.

Rather than treating due diligence primarily as a document-review exercise, DDLoop approaches it as a structured data workflow. The platform brings together information used in corporate due diligence and helps automate searching, analysis, monitoring and reporting.

That makes the underlying idea particularly interesting.

A traditional due diligence exercise might involve lawyers moving repeatedly between searches, documents, spreadsheets, emails and reports. A technology-enabled model can look more like a pipeline:

source data → structured information → analysis → exceptions → lawyer review → report

DDLoop was one of five Australian startups selected for the 2025 Lander & Rogers LawTech Hub, alongside Amender, CourtAid, Lawme and Mobius. The cohort was specifically focused on emerging applications of AI in legal practice. (Lander & Rogers)

The significance goes beyond due diligence itself.

Some of the most promising legal technology isn’t necessarily technology that helps a lawyer perform an existing task 20% faster. It is technology that asks whether the workflow itself needs to exist in its current form.

DDLoop is an interesting Australian example of that approach: take a familiar, labour-intensive legal process and start rebuilding it around structured data and automation.