Seeding

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.

HUDS.Document Classifier Table

View
Side-by-Side

Inspect each document side by side

Mark as Responsive
or Not Responsive

This helps train the AI software


Trainthe Software

Once all documents are marked, train the software

Predictions

After the software is trained against the seed set, it can then be applied to the rest of your documents.

HUDS.Document Extractor Table

PredictionConfidence

The AI software gives a confidence to each prediction


ReTrain

The software can be retrained by including corrected predictions into the seed set

Question/Answer

HUDS.Document Extractor Table

QuestionAnswer

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

HUDS.Document Extractor Table

Keyword
Extraction

AI based extraction of keywords

Document
Summarisation

AI based document summarisation

Page
Location

Hyperlinks take you to text in page

View Contents of Document

Easily view the contents of each file.