Lexata is an intelligent securities law research system. It uses sophisticated computing techniques – natural language processing and machine learning – to find the most relevant rules when a user searches the database.
Lexata helps in-house and external counsel find answers to securities law questions quickly, using google-like searches, with no research training required. With Lexata’s technology,
- in-house counsel can answer more questions for themselves; their consultations with external counsel can focus more on analysis and strategy and less on rule-finding; and
- external counsel can advise on securities law matters more efficiently, with less of the tedium of traditional securities law research.
Lexata’s database and search algorighms are being built and refined; the prototype topics are
- investment fund compliance, and
- insider reporting and early warning reporting.
Lexata’s expansion will focus on
- Canadian securities law topics, namely financial statements and MD&A; shareholders’ meetings; private placements; related party transactions, etc.;
- MJDS requirements for U.S.-listed Canadian companies; and
- U.S. domestic securities laws.
We welcome your feedback. What topics and and features are most important to you?