Experience

Casetext

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Director Of Research & Development

  • Jul 2022 - Present

  Building the future of AI for the law. Building the future of AI for the law.



Meta

• United States
• Software Development
• 700 & Above Employee

• Machine Learning Engineer

  • Feb 2021 - Jul 2022

  Improved multimodal deep learning-based classifiers incorporating natural language, image, and video. Improved multimodal deep learning-based classifiers incorporating natural language, image, and video.



Casetext

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Director of Machine Learning

  • Feb 2020 - Jan 2021

  Leading the team applying the latest in deep learning for natural language processing to problems in the legal industry.-Built a semantic search system that takes legal statements as inputs and finds similar statements in the whole body of US common law. Built the machine learning based core of the system and then led the team that put the system into production. Try it out here: https://parallelsearch.casetext.com/

• Principal Research Scientist - Machine Learning

  • Nov 2019 - Feb 2020

  Pushing the cutting edge in natural language processing and applying state of the art deep learning techniques to problems in the legal industry.

• Machine Learning Engineer

  • Jan 2018 - Nov 2019

  Building machine learning models to solve natural language processing problems in the legal industry.



Insight Data Science

• United States
• Higher Education
• 1 - 100 Employee

• Artifical Intelligence Fellow

  • Sep 2017 - Dec 2017

  - Built a Python package to train embeddings that encapsulate large bodies of natural language text about entities. - Used a generic task to train the embeddings—a classifier to determine which entity a sentence from the text is about, given the sentence and a small set of entity embeddings. - Demonstrated that the resulting embeddings are useful for a broad range of tasks, such as gender classification, occupation classification, and political preferences for prominent people based on their Wikipedia articles. - Demonstrated cross-domain usefulness by training embeddings on Yelp reviews about businesses, and then using the embeddings to predict the businesses’ categories (e.g. ‘restaurant’, ‘shopping’, ‘home services’, etc.). Show less



IBM

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Business Architect

  • Nov 2014 - Aug 2017

  Implementations Team, Watson Group- Led the effort to adapt IBM’s Watson system for use in the legal industry.- Analyzed the market opportunity for Watson technology in the legal industry. - Worked with the Watson design team to develop preliminary designs for Watson solutions for various legal use cases. - Arranged and led user research interviews. - Developed a proof of concept and prepared and gave the major presentations in a lengthy sales process that resulted in the first contract to build a Watson system in the legal domain. The contract represents over $100 million in revenue over five years with a major strategic partner.- Worked daily with clients and IBM’s engineers to set priorities for product development. - Played leading role in developing system architecture, integrating various pieces of Watson technology into a solution.- Led a team of 10+ people to gather appropriate training data through a lengthy hand-labeling process. - Designed features for the machine learning models. Show less

• Software Engineer and Legal Subject Matter Expert

  • Jun 2014 - Mar 2015

  Implementations Team, Watson GroupUsed both machine learning and rule-based natural language processing techniques to extract useful information from unstructured text. Developed Watson solutions for life sciences and legal industries.



Fenwick & West

• United States
• Law Practice
• 700 & Above Employee

• Attorney

  • Oct 2011 - Jul 2013

  - Provided legal advice for startup, mid, and late-stage technology companies. - Conducted transactions including venture financings, convertible debt financings, mergers and acquisitions, and initial public offerings (IPOs). - Provided advice regarding initial incorporations, founder and employee incentive plans, and other corporate legal issues. - Advised many of the top Silicon Valley startups. - Provided legal advice for startup, mid, and late-stage technology companies. - Conducted transactions including venture financings, convertible debt financings, mergers and acquisitions, and initial public offerings (IPOs). - Provided advice regarding initial incorporations, founder and employee incentive plans, and other corporate legal issues. - Advised many of the top Silicon Valley startups.



Fenwick & West

• United States
• Law Practice
• 700 & Above Employee

• Summer Associate

  • Jun 2010 - Aug 2010



Alaska Public Defender Agency

• Parole Intern

  • May 2009 - Jul 2009

  Represented indigent clients at parole revocation hearings. Interviewed clients, prepared arguments, and made oral arguments before the Alaska Board of Parole. Wrote part of an appellate brief arguing to change the standard of review for Parole Board decisions. Represented indigent clients at parole revocation hearings. Interviewed clients, prepared arguments, and made oral arguments before the Alaska Board of Parole. Wrote part of an appellate brief arguing to change the standard of review for Parole Board decisions.



Steve & Barry's

• Retail
• 100 - 200 Employee

• Business Analyst

  • Jul 2007 - Dec 2007

  Analyzed and made capital investment decisions by modeling return on investment for various purchases and negotiating the resulting deals. Made decisions totaling in the millions of dollars for Steve and Barry’s, a 240-store chain with tens of thousands of employees. Analyzed and made capital investment decisions by modeling return on investment for various purchases and negotiating the resulting deals. Made decisions totaling in the millions of dollars for Steve and Barry’s, a 240-store chain with tens of thousands of employees.



Lazard

• United States
• Financial Services
• 700 & Above Employee

• Analyst

  • Jun 2006 - Aug 2006

  Worked in the life sciences group. Analyzed potential mergers and acquisitions in the pharmaceutical industry. Worked in the life sciences group. Analyzed potential mergers and acquisitions in the pharmaceutical industry.



United Nations

• International Affairs
• 700 & Above Employee

• Program Associate

  • Jun 2005 - Aug 2005

  Attended and reported on council deliberations for the World Tourism Organization. Wrote speeches for a senior official. Attended and reported on council deliberations for the World Tourism Organization. Wrote speeches for a senior official.