Quinten Steenhuis
Practitioner In Residence at Suffolk University Law School
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolQuinten Steenhuis is a lawyer-turned-technologist who marries 11+ years of frontline legal practice with deep Python and Docassemble expertise to build tools that expand access to justice. As Practitioner in Residence and co-director of Suffolk’s Legal Innovation and Technology Lab, he leads courtformsonline.org and teaches students to ship legal tech products that are ethically grounded and practical. He previously modernized IT and automated legal workflows at Greater Boston Legal Services—creating statewide eviction-defense tools and integrations that saved time and unlocked services for clients. A regular open-source contributor to the widely used docassemble project, he focuses on backend logic and template interoperability. Quinten combines courtroom experience, systems administration, and applied software engineering to deliver durable, client-centered automation for nonprofits and courts.
11 years of coding experience
13 years of employment as a software developer
JD cum laude, Law, JD cum laude, Law at Cornell Law SchoolHigh School Diploma, High School Diploma at Lehman Alternative Community SchoolBachelor of Science - BS, Logic, Bachelor of Science - BS, Logic at Carnegie Mellon University
Github Skills (7)
string-formatting10
string-format10
python10
jinja29
yaml8
apidoc7
api7
Programming languages (10)
Github contributions (5)
jhpyle/docassemble
Sep 2017 - Nov 2022
A free, open-source expert system for guided interviews and document assembly, based on Python, YAML, and Markdown.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 33 commits, 51 PRs in 5 years 3 months
Contributions summary:Quinten primarily contributed to the back-end logic of the docassemble project, focusing on the `docassemble_base/docassemble/base/util.py` file. Their commits involved adding new methods and correcting existing ones related to address formatting, language lookups, and handling undefined values. They also addressed typos and adjusted code related to DOCX template support within the system.
document-assemblydocassemblepythonexpert-systemexpert
nonprofittechy/docassemble-ssa
Mar 2019 - Jul 2020
Shared code for Social Security interviews
Contributions:5 commits, 1 PR, 3 pushes in 1 year 4 months
securitysocial-securitynodejsshared-code
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