Investigations often start with collecting relevant internal data. Emails, messages, accounting information, transaction details, and documents often help answer initial questions such as what happened, who was involved, and when did key events occur. But those sources do not always explain the broader context. They may not show whether a person or entity is what they claim to be. They may not reveal outside relationships, conflicting affiliations, prior patterns, or facts that sit beyond the organization’s systems. Documents rarely provide full context. Key relationships may remain hidden, and intent is often difficult to infer from internal evidence alone.
That gap is one reason open-source intelligence (OSINT) is essential in modern investigations. OSINT is a way to test and strengthen internal evidence, not replace it. Used well, it can help investigators validate claims, identify relationships, establish external context, and uncover information that an organization does not control. OSINT is a structured approach to collecting and analyzing publicly available information. It can support reverse lookups, identify relationships, assess potential intent, and perform ongoing monitoring, while also corroborating evidence obtained through e‑discovery.
For organizations involved in disputes, fraud concerns, employee misconduct, third-party risk, or court-driven investigations, OSINT is critical. The question is no longer simply whether data exists to support an investigation, but whether the story the data suggests holds up when tested against the outside world, or whether your internal data even tells the whole story.
Why Internal Data Can Mislead
Many organizations assume internal organizational data is sufficient to see the whole picture in an investigation. In practice, that assumption often breaks down. Internal systems are built to support operations, compliance, communication, finance, and record-keeping. They are not always built to expose deception or verify identity, and they rarely capture the full range of outside relationships that may affect an investigation. Public information can surface details not controlled by the organization and can reveal external relationships that would not be obvious from internal files alone.
This is especially important when a subject is trying to shape the narrative. A document may appear complete on its face. An email may seem to resolve a question. A claim may look plausible if no one checks it. Without external validation, investigators can waste time on the wrong assumptions or accepting explanations that should have been challenged earlier. That is where OSINT can change the direction of a matter.
What Can OSINT Add to an Investigation?
OSINT is the practice of using available public sources to strengthen investigative context. Those sources can include:
- Names & Aliases
- Addresses
- Phone Numbers
- Email Addresses
- Occupational History
- Licenses
- Business Affiliations
- Social Media Footprints
- Property Records
- Loans, Liens, & Judgments
- Civil & Criminal Records
- Usernames
… and certain less common sources such as:
- Exclusion Lists
- Leaked Data
- News Archives
- Photos
- Auction Sites
- IP-Related Information
That breadth matters because investigations rarely hinge on a single fact. More often, they depend on whether a set of facts aligns.
OSINT can help answer questions such as:
- Is the person, business, or intermediary real and active in the way they claim to be?
- Are there outside affiliations or relationships that help explain the conduct under review?
- Does public information support the narrative presented in internal records, or raise new concerns?
- Are there signs of undisclosed activity, prior litigation, adverse media, sanctions exposure, or other credibility issues that merit deeper review?
Correctly used, OSINT becomes more than a research exercise. It becomes a validation layer.
A Practical Example: When the Story Didn’t Hold Up
One of the strongest examples we have seen involves a matter where court-required disclosures had stalled for months. Then, suddenly, more than 100 pages of emails appeared, supposedly documenting communications with an attorney who was helping the individual respond. According to the presentation, the explanation later shifted again, with the claim that the attorney had died and that this was preventing further compliance.
On its face, the production created the appearance of cooperation. It offered a narrative, names, and documents that could have delayed or redirected scrutiny. OSINT pressure-tested that narrative. The investigators were able to validate the purported attorney and law firm using public-source verification and identify inconsistencies involving the name, affiliation, and legitimacy of the individuals and entities involved. The findings were significant as neither the law firm nor the attorney were real, and the claimed death did not hold up under verification.
This example illustrates a common investigative problem. The documents supported a story that had not yet been challenged. OSINT pressure tested the evidence.
That is often where the value lies. In many matters, the way to strengthen an investigation is to bring in an external source of context that can confirm or contradict what has already been presented.
Why AI Doesn’t Eliminate the Need for Judgment
Artificial intelligence (AI) can accelerate public-source research and synthesis, expand coverage, and help identify links, entities, and patterns across sources. At the same time, human judgment and validation remain necessary because of hallucinations, inaccuracies, and the broader risk of drawing conclusions too quickly from imperfect data.
This is an important point for legal, compliance, and investigative teams. Speed can be helpful, especially when a matter is moving quickly or the data set is broad. Yet speed without review creates risk. Public source data can be fragmented, outdated, incomplete, or wrongly attributed. Aggregator services provide a lot of data in a single report but are not immune to misattributing data related to one individual with the same name in the same geographic area to another individual. The consequences of relying on OSINT data without review can not only lead to embarrassment, but also legal or financial ramifications.
A defensible OSINT process still requires people who can assess quality sources, resolve inconsistencies, and distinguish between a lead and a conclusion. That is particularly important when findings may affect litigation strategy, disciplinary action, disclosures, or reporting to regulators or boards.
What Should Organizations Take From This?
For legal and investigative teams, OSINT offers a practical way to close the context gap.
It can help teams validate actors, claims, and credibility earlier in a matter. It can reveal external relationships that make internal communications easier to interpret. It can support clearer reporting and better prioritization. And when used alongside e-discovery, relationship mapping, and analytics, it can inform investigators on where to focus next. OSINT adds context to e-discovery sources, helps corroborate evidence, and reveals relationships beyond the evidence already in hand.
This does not mean every investigation needs an expansive OSINT workstream. It does mean teams should think carefully before assuming that internal systems are enough. In a complex matter, internal data may tell you what someone wanted you to see, but publicly available information may help show whether that story is complete.
Actions to Consider Now
For organizations looking to strengthen investigative readiness, consider the following:
- Review whether your current investigative process includes a defined step for validating key claims through public-source research.
- Identify the types of matters where outside context would materially improve credibility assessments, relationship discovery, or issue triage.
- Evaluate whether your team is relying too heavily on produced records without testing the narrative behind them.
- Establish clear standards for source validation, documentation, and escalation when using OSINT in sensitive matters.
- Consider where AI can support faster research, and where human review must remain central to avoid unsupported conclusions.
How Forvis Mazars Can Help
When a matter involves disputed facts, incomplete narratives, or questions about credibility, outside context can make the difference between a routine review and a well-supported investigation. If your team is evaluating how to use e-discovery, OSINT, and investigative analytics more effectively, contact us to discuss your matter and learn more about our Forensics & Investigations services. For more topics shaping the legal landscape, join us for our next three-part webinar series, the Forensics Institute.