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Gap Bridge

Custom Platform

Continuous infringement scoring across the entire IP portfolio.

IP infringement detection platform

An AI-powered IP monitoring platform that scores trademark filings, patent applications, press releases, and product launches against a corporate IP portfolio: surfacing infringement signals for damages, licensing, or enforcement action.

  • IP & Legal
  • Custom Platform
  • IP-rich SMB + PE portfolio

At a glance

Result
Prioritized infringement scoring across IP portfolio
Timeframe
12 weeks to production
Function
IP & Legal
Audience
IP-rich SMB + PE portfolio

Context

A multi-brand company with a meaningful IP portfolio (registered trademarks, design marks, granted patents, distinctive trade dress) and a long history of opportunistic infringement by competitors and adjacent operators. Outside IP counsel handled enforcement well when something landed on their desk, but getting something onto the desk was a manual exercise: a marketing person would happen to spot a knockoff, or a customer would forward a confusing competitor ad, or a quarterly portfolio review would surface a filing that was already a year old.

In private equity terms, the IP was undermonetized. Infringement was happening continuously and being detected sporadically. Damages, licensing opportunities, and brand dilution were all going untracked.

The challenge

The hard part of IP enforcement isn’t deciding what to do once you find an infringement. It’s finding the infringement at scale:

  • Trademark filings happen by the thousands every week across global registries. Manually scanning them for similarity to portfolio marks is impossible.
  • New product launches and press releases hit hundreds of channels daily. Confusingly similar branding, packaging, or naming gets shipped without anyone in the rights-holder’s organization noticing for months.
  • Patent applications and granted patents create both infringement risk and licensing opportunity, but only if you’re systematically watching them against your own claims.

Outside IP counsel can act on what they see. The question was how to put more in front of them: accurately, prioritized, and continuously.

The approach

We built a multi-source IP monitoring platform that scans, scores, and triages potential infringement against the corporate portfolio every day.

Portfolio codification. First, every asset in the IP portfolio (registered marks, design marks, patents, copyrighted works, trade dress) got codified into a structured register with the legal scope of each right captured explicitly. The platform needs to know what to compare against.

Multi-source ingestion. The platform pulls from primary sources continuously: USPTO TSDR for trademark filings, USPTO PAIR for patent applications, press release wires, product-launch databases, e-commerce catalogs in the relevant verticals.

Multi-vector scoring. Each new entry gets scored against the portfolio across multiple vectors: textual similarity (mark vs. mark), visual similarity (logo, packaging, design mark), semantic overlap (product naming, slogans, trade dress), and structural similarity (patent claim language). The scoring engine combines these into a single confidence-weighted finding.

Triage workflow. Findings above a confidence threshold land in a counsel review queue with the evidence, the scoring rationale, and a recommended next action (cease-and-desist, licensing outreach, opposition filing, watch-list, dismiss). Counsel decides the action; the platform tracks every disposition for audit and learning.

Inside the system

The platform runs as four coordinated layers:

  1. Ingestion. Daily pulls from each source, normalized into a common entity schema with provenance and timestamp.
  2. Scoring. Multi-vector comparison engine evaluates each new entry against every relevant asset in the portfolio. Returns scored findings with evidence pointers.
  3. Triage UI. Custom interface for counsel to review the queue, drill into evidence, capture decisions, and route findings to enforcement.
  4. Audit & learning. Every disposition feeds back into the scoring engine. Marks that counsel consistently dismisses get downweighted; patterns that consistently escalate get tightened. The platform sharpens over time.

How the OS multiplies the investment

The platform was originally built for a single rights-holder. Once the core OS exists (ingestion, scoring engine, triage UI, audit layer) adding a new portfolio is a matter of codifying the new register and pointing the platform at it. For a PE firm with multiple IP-rich portcos, the same platform can monitor every portfolio simultaneously, with separate counsel queues per portco. The infrastructure investment pays back across every brand it covers.

The outcome

What changed in the business.

100%
Of public trademark filings, patent applications, press releases, and product announcements scanned against the portfolio.
Daily
Refreshed scoring, high-confidence infringement signals delivered to counsel within 24 hours of filing.
Multi-vector
Combines trademark, design, patent, copy, and trade-dress signals into a single scored finding per match.
Triage-ready
Each finding includes evidence, scoring rationale, and a recommended next action: ready for counsel review.

Stack & integrations

What it's built from.

  • Anthropic Claude (multi-modal scoring across text, image, and structured data)
  • USPTO TSDR + PAIR data feeds (trademark + patent applications)
  • Press release wire and product-launch data sources
  • Image similarity engine (logo and design-mark matching)
  • Corporate IP portfolio register: codified marks, patents, design rights, copyright assets
  • Counsel review workflow (Slack + custom triage UI)
  • Audit log + evidence archive for every scored finding

Bring this to your business.

Every Gap Bridge engagement starts with the same three weeks: an audit that tells you what we'd replace first, what it would cost, and what you'd gain.