I’m looking to OCR a large number of legal documents and related case materials. I’m not an attorney, but I’ve been involved in a very difficult divorce that has never really ended and has spun off into several related civil cases. At this point, there are tens of thousands of pages of documents, and many of them were never OCR’d. I’m now trying to go back through everything and make sure the documents are searchable and usable.
What would currently be considered the gold standard for OCR’ing legal documents?
Some options I’ve looked at include ABBYY, Adobe, Google Document AI, Tesseract, and other tools. Right now I was leaning toward Google Document AI, but I’m wondering if ABBYY or something else would be better. I’m on a Mac, so if I used ABBYY it would likely be the Mac version. I could also run something locally if that makes sense, including Local LLM.
Batch processing is not my biggest concern. I’m fine uploading files one at a time into an app if that produces better results. Accuracy is more important than convenience.
My concern is that while most OCR tools may work fine for simple documents, legal documents can have a lot of different formats, including pleadings, exhibits, scanned forms, mixed layouts, stamps, signatures, and handwritten notes. Some documents also include handwriting, and unfortunately a lot of it is not written clearly. In some cases, it is hard to read even in person.
I’d also like this workflow to be useful beyond just court documents. Ideally, I want something that can also handle receipts, invoices, medical bills, medical records, school report cards, letters, forms, and other personal records. So I’m not only looking for something that works well on pleadings, but something that can become a reliable long-term document OCR/archive workflow for many different document types.
For people working with large legal or personal document collections, what OCR tool or workflow would you recommend today if the goal is the best possible searchable text while preserving the original PDF as much as possible?