Legal documents arrive as scanned PDFs, OCR output, and copied excerpts full of broken line breaks, stray special characters, and inconsistent spacing. Paralegals must clean this text before it goes into a brief, a discovery index, or a review platform - and confidentiality means the cleanup can't touch a third-party server.
This workflow tidies pasted or OCR'd legal text: repair line breaks, remove noise characters, normalize whitespace, and standardize formatting entirely in the browser so privileged material never leaves the machine.
Paralegals & legal support get a cleaner result from “Text Cleanup for Paralegals” when each step stays separate. Finish the current step and check the output before you open the next tool. The utilities named for this workflow (remove line breaks, remove special characters, find and replace) are linked further down so you can jump to the one that matches the file you have, instead of guessing from the full directory.
Keep the original text or file until the last step looks right. These tools run in your browser, so you can retry a step on the same copy without uploading the list. If the result is shorter than you expected, look back at the input and confirm the addresses, lines, or columns are still there, then rerun only the step that dropped them.
A useful check for paralegals & legal support before you export: Keep an untouched copy of the original before cleaning, in case you need to cite the source verbatim. After that, make sure the output is the shape the next tool expects, usually one item per line or a single column, and only then import it into a spreadsheet, CRM, or sending platform.
Worked example: copy three rows that look like the real file and run only “Repair OCR line breaks”. Compare that small output with what you expected before you process the full list. A common pitfall is accepting the first clean-looking result when a later step still has to remove duplicates, fix separators, or drop blank lines. If the sample is wrong, correct the input and rerun that step. Checklist: keep the original file, confirm the sample output, finish every later step on the sample, then run the same order on the full file and spot-check the first and last rows.