Covid 19
A catalyst to automate protection order petitions to support self‐represented litigants
Bibliographic Data
| ID | 21739948 |
|---|---|
| Authors | Ayyoub Ajmi (University of Missouri–Kansas City, corresponding author) |
| Year | 2022 |
| Volume | 60 |
| Issue | 2 |
| Pages | 165-180 |
| Publication date | 2022-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Family Court Review (JOURNAL) |
| Journal identifiers | ISSN: 1531-2445 • E-ISSN: 1744-1617 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/fcre.12635 |
| PMID | 35601201 |
| OpenAlex | W4220793414 |
| Language | EN |
| Citations received | 4 |
| References cited | 1 |
COVID‐19 exacerbated the crisis in access to legal services especially for victims of domestic violence for whom the pandemic made their situations even more precarious. In this article, the author shares his experience of building and implementing an automated solution to help pro‐se litigants petition the court for emergency protection orders remotely and without the need to visit the courthouse. The article describes the lessons learned in developing a state court online portal dedicated to educating abuse victims and providing them with an automated way to petition the court for protection orders remotely without the need to visit a courthouse. The article concludes that implementing replicable models in other jurisdictions could create various efficient web‐based solutions for helping self‐represented litigants access the legal services that they need
2019-20 coronavirus outbreak · Business · Computer security · Domestic violence · Internet privacy · Medical emergency · Pandemic · Poison control · Political science · Public relations · Suicide prevention · Artificial Intelligence in Law · Computer Science · Dispute Resolution and Class Actions · Law · Legal Education and Practice Innovations · Medicine
| Citations per year | 1 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |