Sean Norick Long

OCI Tracker

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Summary: Identified an information asymmetry in law school recruiting and built a solo product that nearly 400 students now use to track applications and see real-time hiring signals across 100+ firms.

Highlights: First-year students track applications and see, from crowdsourced data, which firms are moving and the minimum GPA that reached each interview stage. I collect student feedback during the day while working 60-hour weeks at my firm, then push fixes with Claude Code every evening.

HKS Course Search

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Summary: Turned 20 years of course evaluations trapped in 3,000 individual PDFs into an interactive tool that 80% of the student body used each semester. Harvard commissioned a follow-on product.

Highlights: Course evaluations were trapped in thousands of individual PDFs. I scraped them, structured the data, and built an interactive scatter plot mapping every course by instructor rating and workload. The green quadrant (high-rated, low-workload courses) was the moment students understood the value. Harvard commissioned me to build a follow-on product: a course-swap optimization algorithm that facilitates multi-student exchanges. A non-technical administrator ran it on her own for six semesters.

Court Fee Waiver Automation

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Summary: Built digital tools that reduced a 10-step eligibility process to one for legal aid attorneys in Oklahoma, then used web scraping across 60,000 court cases to identify people eligible for proactive outreach.

Highlights: Partnered with the Fines and Fees Freedom Fund (F4) to build and pilot digital tools across 50 client cases. I also web-scraped 60,000 Oklahoma court cases, including unstructured docket text, to identify people who met fee-waiver eligibility criteria for proactive outreach. One local attorney said their “current Excel spreadsheet does half of this a quarter as well” and that the tools “reduce ten steps into one.” Published as “Digital Access to Justice: Automating Court Fee Waivers in Oklahoma” in the Georgetown Law Technology Review. Awarded 1st Place in the 2023 Georgetown Technology Law Writing Competition. Donated the $4,000 prize to F4.

Policymaker Matching Tool

Summary: Joined a startup at launch, taught myself Python and SQL, and built the core matching product that connected public servants across 170 countries by project history, supporting growth to 110,000 users.

Highlights: Governments were relying on hallway conversations and expensive consultants to learn what worked elsewhere. I built a tool that matched public servants by prior project history so they could find peers directly. Also built a visualization tool using the Twitter API to map influential sub-communities within policy areas. These network graphs identified communities we were missing and supported Apolitical's growth campaigns. The resulting lists of influential policymakers were tweeted by Emma Watson, Justin Trudeau, and the Mayor of Paris.

Section 230 Citation Network

Summary: Mapped citation relationships across Supreme Court amicus briefs to surface the most influential voices in the Section 230 debate, built during a Google Public Policy Fellowship.

Highlights: Mapped citation relationships across briefs to surface the most-cited voices. Built during the Google Public Policy Fellowship at the Bipartisan Policy Center.

Fines and Fees Freedom Fund (F4)

Built and piloted F4's initial digital tools across 50 client cases in Oklahoma, along with additional tools for public defenders and debtors as part of criminal debt assistance clinics.

Apolitical

Joined a startup launched from a kitchen in West London and taught myself Python and SQL. Ran hundreds of user interviews and managed GDPR compliance. Led a panel on ethical AI at Colombia's annual digital government conference. Supported platform growth from launch to 110,000 policymakers from 170 countries.

Harvard Kennedy School

Built three products for students, administrators, and legal aid attorneys, including a course-swap algorithm commissioned by the university. Worked 10 hours/week alongside a full course load.

Bipartisan Policy Center

Wrote articles and interviewed government officials on data privacy, open data, and AI risks. Created citation network graphs from Supreme Court briefs to map expert influence on Section 230.

Colorado Office of the Attorney General

Wrote memoranda on privacy guidance as the Data Privacy and Cybersecurity Team drafted first-in-the-nation regulations on automated decision-making and data protection assessments. Used NLP to analyze 1,900 public comments to the FTC Horizontal Merger Guidelines. Prepared 30(b)(6) deposition witnesses in a multistate antitrust litigation.

U.S. Department of Justice, Antitrust Division

Managed a team of four as lead paralegal in a litigation challenging hospital anti-steering provisions. Senior paralegal on U.S. v. Anthem, which blocked a $54 billion health insurance merger. Managed 620+ document productions from 200+ third-party subpoenas. Received the Assistant Attorney General Award for service on the Anthem trial team.

Georgetown University Law Center

GPA: 3.86 (Top 15%). Technology Law Scholar. Westin Scholar, awarded by faculty to one JD student for leadership in privacy law. Dean's Certificate, awarded to fewer than 5% of graduates for service to the academic community. CALI Awards in Law of Robots, Experimental Jurisprudence, Hot Topics in Antitrust, and Communication Design and Law.

Harvard Kennedy School

Full-tuition scholarship. David Martin Graduate Student Leadership Forum Fellow, selected among 30 students from across all 12 Harvard graduate schools. Selected to serve as Course Assistant for Empirical Methods under an instructor who is a Vice President at Analysis Group; completed Econometrics coursework. Member, Harvard Innovation Lab. Google Public Policy Fellow.

University of Notre Dame

Hesburgh Program in Public Service. International Scholars Program. Founder and President, bridgeND.