Machine Learning Evidence Sorting
Need Expert Digital Forensics or Cybersecurity Support?
Machine Learning Evidence Sorting
In the face of growing data volumes — from emails to encrypted drives — traditional evidence review processes are no longer fast enough. Greyhawk Forensics introduces Machine Learning Evidence Sorting, an AI-powered solution that classifies, tags, and prioritizes digital evidence with remarkable speed and precision.
Accelerate Investigations. Eliminate Noise. Prioritize Truth.
By learning from your investigation patterns and relevance markers, our system highlights critical files, flags anomalies, and enables your legal or security teams to move faster and more intelligently.
Why Choose Our Greyhawk Forensics?
First in the Philippines to deploy ML-powered digital evidence sorting
Saves hundreds of hours in manual case review
Combines local investigative insight with global tech standardsmation cases
Integrates seamlessly into eDiscovery, internal investigations, or law enforcement workflows
What We Do
We help investigators sort through terabytes of digital chaos using trained machine learning models that continuously improve. Whether you’re investigating financial fraud, employee misconduct, cyber breach, or criminal cases — we automate the grunt work, so your team can focus on decision-making, not data digging.
Our core services include:
- AI-Powered File & Content Classification
- Email, Chat, and Document Clustering by Context
- Auto-Prioritization of High-Risk Digital Evidence
- Redundant & Irrelevant File Filtering
- Keyword & Behavior-Based Sorting
- Cross-Device Data Correlation
- Real-Time Pattern Detection & Alerts
- Legal Evidence Preparation & Tagging
- Multilingual Content Sorting
- Custom ML Models for Repeated Investigations
Frequently Asked Questions (FAQ)
Q1: What kind of data can your system sort?
A: Emails, chats, documents, multimedia, code, and even encrypted content — across devices and platforms.
Q2: Is the system customizable for our industry?
A: Yes. We build ML models tailored to your use case — legal, HR, cybersecurity, or compliance.
Q3: How accurate is it compared to manual review?
A: ML sorting delivers up to 90–95% tagging accuracy after initial training, and improves over time.
Q4: Do we need in-house data scientists?
A: Not at all. Greyhawk Forensics deploys, maintains, and interprets everything for you.
Q5: Is it secure and confidential?
A: Yes. All data remains encrypted, and systems comply with global forensic chain-of-custody standards.
Q6: How fast can it sort a typical corporate drive?
A: A 1TB drive with 250,000+ files can be sorted in as little as 3–5 hours, depending on complexity.
Streamline your next investigation. Save time. Reduce risk.
Drowning in digital evidence? Let AI do the heavy lifting.
