Text IQ for Legal
Free up your legal team to focus on what matters most. The old, risk-laden paradigm of being reactive instead of proactive, using outdated search terms, and billing endless hours is no longer acceptable.
There’s a better way.
We use Artificial Intelligence to protect your sensitive information.
At the heart of every legal disaster is a sensitive document that got overlooked in a mountain of data. Our cutting edge AI lets you identify these sensitive needles in a haystack, including privileged, confidential, IP-protected, and personal data with unprecedented speed and accuracy. Our platform automates the understanding of context at scale, and by using a continuous feedback loop to incorporate human input, it becomes more accurate with each use - and saves you from enduring heartache.
- Stefan John, General Counsel, BASF
- Dan Cooperman, General Counsel, Apple (2007-2009) & Oracle (1997-2007)
The practical benefits of Text IQ for Legal show immediate returns
AI FOR DOCUMENT REVIEW |
STEFAN JOHN | GC, BASF
Automating document review with AI allows lawyers to focus on making the hard calls.
AI FOR ANTITRUST MERGER REVIEW |
AUSRA DELUARD | COUNSEL, DENTONS
When reviewing documents for antitrust cases, accuracy is of the utmost importance.
DIGITAL TRANSFORMATION |
TIM MAYOPOULOS | CEO, FANNIE MAE
Heavily-regulated industries should put a greater emphasis on investing in technology.
Text IQ's Artificial Intelligence and Machine Learning is used by leading enterprises, in-house counsel, and outside counsel for a number of key use cases detailed below.
Protect Personal Information
Automatically identify and redact personal information, personal health information, and even special category data with ease.
Control the Pace of Litigation
Confidently automate the document review process, including responsive and privilege reviews, and automating privilege logging.
Respond to Government Investigations
Streamline and accelerate response to government investigations and antitrust merger reviews to meet impossible deadlines without the risk of leaking sensitive documents.