Create your own synthetic document, then retrieve and review relevance ranked Conceptually Similar documents, Using iCONECT’s Xmplar® “Custom Find Similar” you will retrieve more specific and higher quality search results, resulting in fewer false positives.

Xmplar enables users to collaboratively create a customized “hot doc” to act as a model or “exemplar.” You get more control over both conceptual searches and seeding for Predictive Coding workflows. The result is fewer false positives and more specific search results. Use Xmplar with any linear review project or in tandem with a Predictive Coding workflow to retrieve documents that contain similar concepts to the Xmplar itself. In mere seconds, iCONECT returns what you are looking for.

SIMPLE USE

• Create perfect documents by selecting text and adding text right from Document View
• Simply ask your attorney to create what they would consider to be the perfect ‘smoking-gun’ language
• Capture important concepts and use them as seeds in a Predictive Review workflow
• Reduce time spent looking for perfect documents
• Minimize the number of searches
• Fine-tune Predictive Review training with key documents
• Minimize issues related to “false positives”

UNDERSTAND

• Craft documents in native languages for international review
• Fine tune Predictive Review training and speed review
• Integrate conceptual findings with statistical sampling for focused review
• Build a non-responsive Xmplar to verify your production requirements

COMBINE WITH OTHER ANALYTICS

• Use Xmplar as a way to identify seed/training documents for your CAL workflow
• Find key contract clauses complete with a relevance ranking
• Results can be further culled with date-range and keyword filters