Prediction and Litigation Technology

Predictive technology analyzes past legal reference data to provide insights into future outcomes. Practical applications include forecasting a judge’s holding in litigation, or an examiner’s allowance of a patent application.


Lex Machina Motion Kickstarter

Using a combination of machine learning, natural language processing, and human expert review, Lex Machina (part of LexisNexis) reads, tags, corrects, and updates litigation data. The Attorney Data Engine fixes typos, errors, and omissions in court dockets and documents, and practice-specific tags and filters enable users to quickly find cases.


Allegory (from legal services provider Integreon) is a cloud-based litigation management platform. Allegory allows inside and outside counsel to work collaboratively within a single platform and with the ability to analyze all case information for a single matter or across matters.




LitiGate equips dispute resolution teams with a day-to-day operating system for litigators that automates repetitive tasks, analyses risks and uncovers untapped information throughout the entire duration of a case.