Ask five investigators what they think about AI in casework, and you will likely get five different answers, most starting with a caveat: it depends on what “AI” actually means here.

That hesitation shows up before anyone opens a laptop. Some practitioners still avoid the word “AI” and prefer softer terms: a digital forensics force multiplier, advanced analytics, assisted review. But underneath the vocabulary is a real worry: losing control over evidence, over defensibility, over the judgment calls that used to belong entirely to a trained investigator. It’s the same worry whether the case is a criminal investigation, an intelligence assessment or a corporate financial review.

Here are five myths about AI for investigations, debunked by investigators across sectors and countries.

Key Takeaways

  • AI doesn’t run the investigation. The investigator still asks the questions, still owns the call and still signs off on every finding
  • Every result is traceable back to its source, not a black box, which is what makes it usable in court, with a regulator or in an internal review
  • Real teams across the public and private sector are already using Cellebrite Genesis to interrogate digital evidence and surface intelligence in minutes

Myth 1: AI Does the Investigating

The assumption: hand a case to an AI-powered investigation tool, and the tool draws the conclusions.

The reality: the examiner, analyst or investigator still asks the questions, still owns the call and still signs off on every finding, regardless of sector. Cellebrite Genesis doesn’t make the case. The investigator does.

Bruce Keeble of Interpath, a U.K. financial advisory firm, sees this firsthand while investigating potential financial wrongdoing tied to a scrapped initial public offering. His team had already spent months piecing together who was involved. “When we ran all the data through Genesis, it took minutes to surface the same information,” Keeble says. “The speed and accuracy amazed us and helped validate our original findings.” The AI confirms the team’s own conclusion. It does not replace the analysis.

A simpler way to think about AI investigation tools: they function like a far more capable search. Internally, one Cellebrite sales rep describes it as a more powerful “Control F,” not a decision-maker.

Myth 2: AI Output Cannot Be Trusted or Defended

The assumption: AI produces a black box. You get an answer, not a way to check it.

The reality: every result traces back to its source. That matters whether the output goes in front of a court, a tribunal, a regulator or an internal disciplinary panel.

Matt Levan, a forensic expert at digital forensics firm Aperture LLC, says: “Genesis has a clear, focused interface that analyzes the datasets you ingest and shows the source of every finding.” Cellebrite’s Deep Investigator capability works the same way, surfacing leads that are all cited back to the evidence.

Examiners need court-ready documentation. Compliance and legal teams need the same defensibility for litigation holds and regulatory response. Different downstream audience, same underlying requirement.

Myth 3: AI Replaces the Investigator’s Expertise

The assumption: the more capable the tool, the less the human matters.

The reality: AI augments proficiency. It does not replace judgment.

Lieutenant Jerod K. Abshire of the Calcasieu Parish Sheriff’s Office Digital Forensics Unit put this in terms that stuck, in a public LinkedIn post: paired with strict human-in-the-loop verification, AI “acts just like an optic on a duty firearm — it enhances proficiency, cuts through the noise and drives speed-to-artifact.” An optic does not replace marksmanship. The investigator still needs training, judgment and accountability. The tool helps that investigator get there faster.

The same point holds for a financial forensic examiner or an intelligence analyst, even if the metaphor changes. Human-in-the-loop is not a caveat bolted onto AI-driven investigations after the fact. It is the design principle.

Myth 4: AI Tools Are Not Proven for Real Casework Yet

The assumption: this is still a demo, not a capability agencies and firms can rely on.

The reality: AI investigation software is already live, in active use across public and private sector, on multiple continents, with named results on the record.

In a grooming and exploitation case, Abshire’s team ingested data from three suspect devices. Within 15 minutes, Genesis surfaced 16 previously unidentified victims: work Abshire estimated would otherwise have taken his team roughly two weeks. Federal prosecutors have since taken up the case. “Genesis is no longer a luxury tool,” Abshire says. “It is a critical resource for victim identification in time-sensitive exploitation cases.”

That pattern is not confined to one country. A senior digital forensic examiner at an Australian law enforcement agency describes Genesis as “a quantum leap” that “produces a level of detail, accuracy and volume of actionable information at a speed that is exponentially better than any existing capability.”

Private-sector teams report the same shift. “Genesis is a gamechanger in digital forensics and digital investigations,” says Matt Levan of Aperture LLC. “It would take us hours or even days to manually review, analyze and validate data, and it can now be done in minutes.” Interpath’s Bruce Keeble reduces a months-long financial wrongdoing investigation to minutes once the data runs through Genesis.

None of this is optional convenience. Case data volumes have outgrown what any team can manually review in a reasonable timeframe: more devices per case, more chat and app sources, more cloud data. Case delays follow: 68% of investigators say they do not have enough time to fully review their data. AI-assisted review is not a layer of convenience added on top of the job. It is what keeps pace with the caseload the job now involves.

Myth 5: AI Only Catches the Obvious, Surface-Level Evidence

The assumption: AI investigation tools skim the surface and miss what a thorough manual review would catch.

The reality: the opposite is closer to true. Cellebrite’s Deep Investigator capability goes into the raw databases behind the apps on a device, including new apps and chat tools standard processing does not fully support yet, surfacing leads that a surface-level pass would miss. This is a technology claim, not a sector-specific one. It applies the same way whether the case is a criminal investigation, an intelligence assessment or an internal review.

The Myths Share One Assumption. The Evidence Says Otherwise.

Across public and private sector, and across countries, these myths share one root assumption: that AI means losing control. The evidence, from a Louisiana sheriff’s office to an Australian forensics lab to a U.K. financial advisory firm, says the opposite. Investigators get more time for the judgment calls only a human can make and less time on manual review.

Chain of custody, defensibility and accountability are real stakes, but there is a version of caution that goes too far in both directions. Do not let fear of the word “AI” hold your team back from a capability your caseload already requires. Do not adopt a tool out of FOMO either, just because competitors or peer agencies are moving. The right posture is deliberate, evidence-based adoption: decide based on what a tool actually does and shows its work on, not on the label or the hype cycle around it.

That distinction matters because of a fact worth stating plainly: any company can stand up an AI feature right now. Few can pair it with 20 years of forensics methodology, chain-of-custody discipline and cited-to-source rigor. The myths in this piece are about AI-assisted investigation generally. The reason to trust a specific tool with a specific case is the forensic expertise underneath the AI layer, not the AI layer alone.

See Genesis Work on Your Own Case Data

Try Cellebrite Genesis free. The trial takes about ten minutes to set up.

Start your free trial

Frequently Asked Questions

What should I look for in an AI investigation tool?

The right tool proves its findings and accelerates investigations. Keep these three factors in mind:

  • Every finding traces back to a specific, checkable source
  • It works on the data formats in case types you actually handle
  • A human stays in the loop on every judgment call

A tool that can’t show its work isn’t worth the speed.

How much time does AI actually save on an investigation?

With Cellebrite Genesis, review that used to take hours, days or months drops to minutes. That time comes out of manual review, not judgment: Genesis handles the searching and cross-referencing, and investigators still make the calls on what the evidence means.

Does using AI-assisted investigation tools change how evidence gets documented?

No. Chain of custody and documentation practices stay the same. Every finding still traces back to a specific source and still goes through the same sign-off process. What changes is how fast an investigator gets there, not what they have to document once they arrive.