Predictive coding is garbage-in, garbage-out. Start by carefully selecting a sample of relevant and not-relevant documents. This will be your seed set for training the software.
Inspect each document side by side
Mark as Responsive
or Not Responsive
This helps train the AI software
Once all documents are marked, train the software
After the software is trained against the seed set, it can then be applied to the rest of your documents.
The AI software gives a confidence to each prediction
The software can be retrained by including corrected predictions into the seed set
Ask Questions against the document using the latest natural language engines from Google and OpenAI
HUDS Case Extractor
Reads the contents of legal case documents and extracts key datapoints e.g. Keywords, Judge Verdicts etc
AI based extraction of keywords
AI based document summarisation
Hyperlinks take you to text in page
View Contents of Document
Easily view the contents of each file.