A growing legal discovery vendor launches a new SaaS eDiscovery product. The product takes off in the market far quicker than they expected and they aren't prepared to manage and support the growth. Unless they can control the product's growth, they face the threat of booming operational costs from non-scalable search technology that will use up many more servers than they're prepared to pay for. They also need to reassure existing and new customers that they can provide an instantaneous and relevant search experience that lives up to their reputation for innovation.
Without Attivio
There are many search engines they can embed in their application to reduce operational costs. So they select one that is affordable and has a very small footprint but can still index millions of objects per server. Integration is relatively straightforward and they meet their CEO's mandate to reduce costs.
After a few months out in the market the application is starting to get a lot of complaints from their customers that it is not matching up with the competition. They can't act on the results from their search queries and there are no facets to drill down through (it was decided that manually creating them all up front was too costly). The search engine also limits the number of results to about 4,000 per query which creates more work and time for their customers. As a result, they find they need to use both their product and their own existing business intelligence applications in order to see all returned results with the right precision they need. The product is taking the blame for the search engine's failings and it's starting to negatively impact reputation. Customers now have a lower regard for their company because their recent product isn't living up to their expectation of innovation.
With Attivio
Embedded AIE turns out great. AIE is a purely Java-based embedded search platform that has great out-of-the-box relevancy for different data formats so it doesn't need a lot of tuning and conditioning to make it fit their product. Better yet, it installs cleanly, starts up in seconds, and requires zero to low integration effort and minimal training, so it easily integrates with their existing infrastructure; saving them time and money and making the engineers happy.
The CEO is also happy because AIE helps lower operating costs even more than their previous solution. AIE has a core footprint smaller than 10M, whereas conventional search systems take up more than 60 times that size. Despite its small stature, AIE processes over 100 million objects per server. That's enough to reduce their server needs by almost 80% compared to other search engines. Finally, they are really glad they don't have to buy all the hardware up front for the index at full capacity but instead buy it as the system expands, which they can do with AIE knowing that it doesn't require any re-indexing.
After a few months, their customers are giving high marks to their new product. They don't need to include their BI tool because AIE talks to a broad range of structured data and unstructured content formats. AIE also does not limit the number of returned results, which means that collecting every last document for eDiscovery is much less tedious than expected. AIE's facet finder is also popular, providing a new interface to their application their customers had not seen before. In the end, customers love their new product because it has helped them operationalize their eDiscovery process.
For more information, please contact our sales department at sales@attivio.com