What is OSINT?
Open-source intelligence — OSINT — refers to the systematic collection and analysis of publicly available information. The term originated in national security and law enforcement contexts, but the methodology now underpins much of the investigative work conducted for legal, corporate, and regulatory purposes.
What distinguishes OSINT from casual online searching is process. It involves structured collection, verification, and documentation of information drawn from sources including social media platforms, public registers, corporate filings, court records, news archives, electoral rolls, and other accessible databases. The goal is not simply to find information, but to produce intelligence — material that is relevant, reliable, and usable for a specific purpose.
"Publicly available" is a broad category. It includes information that is freely accessible online, but also material available through legitimate paid services, government registries, and commercial databases. It does not include information obtained by deception, unauthorised access, or breach of platform terms of service. The boundaries matter — and they are not always obvious.
Beyond social media
OSINT is also broader than social media investigation. Much of the work involves verifying identity from limited data points — an email address, a phone number, a partial name. From a single email address, an investigator may be able to identify linked accounts, associated platforms, historical records, and patterns that confirm or refute an identity. From a phone number, they may be able to establish how long it has been associated with a particular individual, whether it has been reissued, and what other records are connected to it. This is not surveillance. It is systematic cross-referencing of legitimately accessible data.
Why it matters for lawyers
For lawyers, OSINT is increasingly relevant across practice areas. Personal injury and insurance litigation may involve verifying a claimant's assertions about lifestyle, capacity, or employment through publicly shared content. Family law matters may require locating a party who has disengaged from proceedings, or identifying undisclosed assets through corporate registry searches. Estate administration often involves tracing beneficiaries who have moved interstate or overseas, or confirming whether a missing person is alive. Commercial disputes may call for background checks on counterparties, identifying related entities, or mapping corporate structures before proceedings commence. Employment and workplace matters may require assessing the credibility of claims through publicly available information, or locating former employees as witnesses.
In each case, the same foundational question applies: can the information be gathered lawfully, interpreted correctly, and documented in a way that supports legal objectives?
The 70–90% shift
A 2023 study published in AI & Society notes that open-source intelligence now accounts for between 70 and 90 percent of contemporary intelligence material — a figure that reflects both the volume of publicly available data and the sophistication of methods used to collect it. This shift has significant implications for legal practice. Information that once required subpoenas, formal discovery, or covert investigation may now be accessible through careful, lawful research — if conducted properly.
The discipline gap
The proliferation of social media, the digitisation of public records, and the growth of online commercial activity have created an environment where most individuals and entities leave a substantial digital footprint. That footprint can be valuable — but only if it is approached with discipline. Raw data is not intelligence. A social media post is not evidence until it has been verified, contextualised, and preserved in a manner that meets evidentiary standards. A phone number linked to a name is not confirmation of identity until the connection has been tested.
OSINT is not hacking. It is not surveillance. It does not involve accessing restricted systems or breaching privacy legislation. But the distinction between lawful open-source research and unlawful intrusion is not always intuitive — and the consequences of getting it wrong can be serious for both the investigator and the instructing party.
In Part 2, we examine the risks that arise when firms or clients attempt online investigation without understanding those boundaries.

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