Automated trademark infringement monitoring

Note: This article is just one of 60+ sections from our full report titled: The 2024 Legal AI Retrospective - Key Lessons from the Past Year. Please download the full report to check any citations.

Automated Trademark Infringement Monitoring

Currently, the issue of trademark infringement monitoring can be expensive and ineffective. We have heard stories of organizations spending $30,000 per trademark per year for monitoring, and they don't pick anything up. 6-8 infringements were actually initially spotted by staff members, and acted on.

We spoke with one Magic Circle Law firm who will remain unnamed and said "The best thing is having your own staff monitoring you, as they are always looking where your customers are looking".

If you could give automated trademark infringement monitoring AI the context of 'where your customers are looking', then it could scan vast online data, and improve the detection of potential infringements across multiple platforms in near real-time with greater speed and accuracy.

These systems should be capable of:

• Analyzing visual similarities in trademarks
• Analyzing textual similarities in trademarks
• Monitoring across e-commerce platforms
• Monitoring across social media
• Prioritizing high-risk cases for efficient resource allocation

Traditional methods will be due a reckoning once Legal AI tools for trademark infringement monitoring reach maturity and cost-effectiveness.