During each legislative session, the Maryland General Assembly introduces almost 2,000 bills. Manual review by staff at that scale is nearly impossible. Standard AI couldn't help, because they ignored strikethrough text that is essential in legislative drafting.
| Year added | 2026 |
|---|---|
| Status as of Spring 2026 | Pilot |
| Primary Agency | Digital Service |
| Approach and Solution | The state built an open-source Python toolkit and web interface that automates legislative research. The tool uses visual recognition that excludes strikethroughs. It also includes a custom relevance engine to help staff identify and prioritize legislation. |
| Tags | |
| Who it Serves | Government staff |
| Area of Impact | Operations & Productivity |
| AI Technology Type | Document Processing, Predictive AI |
| Level of Human Oversight | AI-assisted decision (human review required) |
| View the Tool / Other Resources | https://github.com/Maryland-State-Innovation-Team/Legi-Assist/ |
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