I’ve been working on a fraud case where the volume of documents is overwhelming. It’s becoming increasingly difficult to identify and categorize relevant evidence efficiently. I’m curious if anyone has techniques or tools that help streamline this process, especially when dealing with large datasets. Any insights would be appreciated.
I totally get the struggle with large datasets — what worked for me was implementing a tagging system to classify documents by relevance and type as I reviewed them. It might take some time up front but really helps in the long run. Have you tried something similar?
I’ve found that using advanced search functions within PDF readers can be a game changer for navigating through massive documents. It lets you pinpoint keywords and phrases quickly, which saves a ton of time. Have you thought about this method at all?
I hear you on the document overload. Have you tried using Excel to track and prioritize key evidence? It can help simplify categorizing as you go.
, I totally relate — this type of work drives me nuts sometimes! In my last case, I started using document review software with AI capabilities to help filter out noise and focus on the most relevant info. It wasn’t cheap, but it saved me so much time.