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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Wednesday, May 18 • 1:40pm - 2:00pm
Litigation Mitigation: Using NLP to Minimize Errors in Contracts

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While work in natural language processing in the legal domain has primarily focused on case law and e-discovery, the domain of contracts and agreements has received comparatively little attention. Our work focuses on the potential for errors and oversights in such documents, a common problem with consequences ranging from professional embarrassment to litigation in the worst case. The American Bar Association estimates that administrative and substantive errors account for some 75% of all legal malpractice claims; our own small-scale analysis suggests that some one in five civil cases involve disputes over ambiguous contract language. We present our work applying computational linguistics techniques to automatically detecting such errors, focusing particularly on inconsistencies, ambiguities and style issues.  Our evolving pipeline for contract analysis builds on augmenting corpora of contracts with manual annotations including judgments of ambiguity.

Speakers
avatar for Shipra Dingare

Shipra Dingare

Lead Engineer, LitIQ
avatar for Gurinder Sangha

Gurinder Sangha

Founder and CEO, Lit IQ
I am the founder of Lit IQ, which is using advances in computational linguistics to help lawyers minimize litigation risk. I also teach at the University of Pennsylvania Law School and serve as a Fellow at the Stanford Center for Legal Informatics. | | Prior to Lit IQ, I founded Intelligize, an information services company that helps business professionals more easily research regulatory filings. Intelligize is one of the fastest growing... Read More →



Wednesday May 18, 2016 1:40pm - 2:00pm
Gardner

Attendees (12)