Smi Aware

SMI Aware is an open-source intelligence (OSINT) data collection firm specializing in social media evidence discovery and preservation for the legal industry. Founded 2011. $2.1M funding. ~23 employees, 3,528 LinkedIn followers, EV=260. Core service: ethical, defensible collection and preservation of social media and web-based evidence across 500+ platforms using proprietary technology and certified analysts. Products: Social Media Deep Report (comprehensive social media evidence reports), SMI Aware Export (defensible data preservation). Key capability: source code-level preservation of social media evidence — blog argues ‘screenshots fail as evidence’ and emphasizes that defensible collection requires capturing underlying data, not just visual screenshots. Relativity integration confirmed by Relativity’s own blog: ‘new integration with SMI Aware and Relativity allows users to quickly access social media and web intelligence.’ Practice areas: insurance fraud/SIU (heavily targeted), PI defense, workers’ compensation, class actions, employment law. Blog: ‘Insurance companies have started heavily incorporating social media research into fraud detection departments.’ Listed on Legaltech Hub and SoftwareSuggest. One Reddit mention in r/ediscovery — adversarial context (‘Their legal goons paid SMI Aware to take screenshots’). No G2/Capterra reviews. Pricing not published. Competitors: Page Vault (web capture), X1 Social Discovery, Hanzo (social media archiving), ShadowDragon (law enforcement OSINT). Key differentiator: combines proprietary technology with certified human analysts for defensible collection — positions against fully automated tools that ‘often miss the mark for accuracy.’ Insurance/litigation-focused rather than law enforcement or corporate compliance.

Company Info

• Founded: 2011
• Team size: 11-50 employees
• Funding: $2.1M
• HQ: United States
• Sector: Litigation

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.