Mark up your personal cases with detailed notes. Classify each sentence to build strong arguments.
Collaborate with team members while taking notes on multiple cases. (Not part of Azure Demo.)
Search your personal cases using powerful 'google-like' tools and semantic information.
Three independent solutions connected by a common portable web server, connected to open-source elastic search database
Modern Web-App architecture
Source code includes Docker definition files so you are in control of how / where the solution is deployed.
It is written using the open-source Angular web framework from Google.
Label Sentences for Machine Learning
Version and Save Cases in LS-Json Format
Import Cases from Raw Text or Html
It is a user interface for grouping and annotating selections of sentences and paragraphs sent to it from LA-Marker or from LA-Search (see below). (Note: LA-Pad is omitted from the Azure demonstration deployment because it would require login and authentication functionality.)
Extract sentences from many different legal documents
Save and reuse your notes
Integrated to LA-Marker and LA-Search
It is currently configured to use Elasticsearch, a search engine based on the Lucene library, but it could be configured to use any search engine. (Note: the Azure demonstration deployment will search only the stratified random sample dataset ("SRS Dataset") described in the paper cited above, with sentences curated only in the decision section headed "REASONS AND BASES FOR FINDINGS AND CONCLUSIONS." The Azure deployment is without communication to LA-Pad (see above).)
Search for Sentences by Keywords and Phrases
Filter based on Sentence type
Link to Paragraph and Case Context
Clone the Repo to get Started. /github.com/LegalApprentice
Clone the Repo to get Started. Watch 5 min YouTube Demo
Questions? Need help? Contact Me.