Short answer
The Rights Exposure Estimator estimates how many published assets carry an expired third-party licence with no expiry date recorded, from six inputs about the library. With the default example of 250,000 assets, the estimate is 7,714 exposed assets. The result is a planning estimate for a content audit or business case, and the tool gives no legal advice.
Example inputs are filled in.
How it works
The Rights Exposure Estimator multiplies four factors: published assets, the licensed share, the share of licences past their term and the share without expiry metadata.
- Published assets equal library size times the share published or shared.
- Licensed published assets equal published assets times the share licensed from third parties.
- The share past term equals average asset age minus average licence term, divided by average asset age. The tool bounds it between 0 and 1, and treats any age or term under 0.1 years as 0.1.
- Exposed assets equal licensed published assets times the share past term times the share without expiry metadata.
The result shows the exposed asset count and the calculation line with each factor. The export adds the metrics and a five-step remediation checklist.
The model assumes every licence starts on the day the asset is published. An asset of average age has then outlived its licence whenever the age exceeds the term.
Worked example
The Rights Exposure Estimator loads with example inputs for a large brand library, and the estimate follows in four steps.
Worked example inputs: 250,000 assets, 40% published or shared, 30% licensed from third parties, a 2-year average licence term, 3.5 years average age of published assets and 60% without expiry metadata.
| Step | Calculation | Result |
|---|---|---|
| Published assets | 250,000 times 40% | 100,000 |
| Licensed published assets | 100,000 times 30% | 30,000 |
| Share past term | (3.5 minus 2) divided by 3.5 | 0.4286, shown as 43% |
| Exposed assets | 30,000 times 0.4286 times 60% | 7,714 |
The tool rounds the share past term to 43% for display and calculates with the unrounded 0.4286. The estimate reads 7,714 published assets that likely carry expired licences with no expiry tracking.
Sensitivity in the worked example
- Record expiry dates on all but 10% of licensed assets and the estimate falls to 1,286.
- Raise average asset age to 5 years and the share past term rises to 60%, giving 10,800.
- Set the average licence term to 4 years, longer than the 3.5-year average age, and the estimate falls to 0.
The first line shows the lever a DAM controls. Expiry metadata cuts the untracked share, and the untracked share multiplies straight into the result.
How to use the result
The Rights Exposure Estimator output belongs in Checkpoint 1, Map, as a measured risk, and in Checkpoint 3, Justify, as a business case line.
- Take library size and published share from the content audit, and sample licensed assets to estimate term and age.
- Put the exposure figure in the risk section of the business case, next to the cost from the Five-year TCO Calculator.
- Set the rights requirements W07 to W10 to Must in the Requirements Builder.
- Add "Expire a licensed image everywhere" to the vendor script in the Demo Script Generator.
- Make "Rights expiry" a required field for licensed assets in the Metadata Model Builder.
The export adds a five-step remediation checklist:
- Add rights expiry as a mandatory field for licensed assets.
- Audit the 500 most-downloaded licensed assets.
- Notify owners 30 days before expiry.
- Block download after expiry.
- Track downstream use per channel.
The guide to usage rights and licence management covers the usage rights model behind these steps, and the DAM selection tools page shows where each tool fits.
Limitations
The Rights Exposure Estimator gives an order of magnitude, and five simplifications shape the result.
- Licences are assumed to start at publication. Assets licensed long before publication expire sooner than the model shows.
- Perpetual licences are treated as time-limited. Enter only time-limited licences in the licensed share.
- The model works on averages. At an average age equal to or shorter than the term it returns 0, while the oldest assets may still be past term.
- The untracked share is assumed equal across old and new assets. Older assets may carry less metadata.
- The count covers image and asset licences. Model releases, music rights and talent contracts need their own review.
The estimate puts no euro value on exposure. Claim costs depend on the licensor, the use and the jurisdiction, and a lawyer assesses any real case.
Frequently asked
What happens when an image licence expires?
When an image licence expires, further use of that image falls outside the licence terms. Published copies on websites, marketplaces and partner portals stay live unless someone removes them. A DAM with expiry dates changes the asset status and blocks downloads on the expiry date.
How do I find images with expired licences?
Find images with expired licences by filtering licensed assets on their expiry date in the DAM. Assets without an expiry date need a manual audit: start with the most-downloaded licensed assets and trace their licence records. The Rights Exposure Estimator sizes that audit before it starts.
Is the Rights Exposure Estimator legal advice?
The Rights Exposure Estimator gives no legal advice. The tool produces a planning estimate from six averages, suitable for sizing an audit or a business case. Questions about a specific licence, claim or use go to a lawyer with the licence agreement at hand.
How does a DAM prevent licence expiry problems?
A DAM prevents licence expiry problems with a rights expiry date per licensed asset, owner warnings before expiry and blocked downloads after it. Usage tracking shows where the asset still runs downstream. The scripted demo scenario "Expire a licensed image everywhere" tests all of these.
What share of assets lacks expiry metadata?
The share of assets without expiry metadata differs per library, and DAMSelection publishes no benchmark. Measure it in your own content audit: sample licensed assets and count those without an expiry date. The estimator default of 60% is an example input.
Script your demos
Give every vendor the same scenarios and pass criteria.