[The legal profession is regarded as one of the least innovative professions (see, here, for instance). Lawyers do not accept technological improvements easily. Given this, Ms. Aarvi Singh's Alt+law bot comes as a pleasant surprise. She is a student of RGNUL, Punjab and an avid researcher with several papers published in various law journals/ reviews.
Ms. Singh's bot in Telegram has the potential to help stressed out law students. The bot purports to summarise pdf files and provide summaries of these files. Apparently, the bot runs even on pdfs containing more than 500 pages. In this post, Ms Singh explains to the world her bot, "Alt+Law". Do test the bot and give your feedback to Ms. Aarvi Singh at aarvi03singh@gmail.com ]
Introducing my
project Alt+Law
by Aarvi Singh
Introduction
During
my first internship, I was assigned the task to give a summary of a number of
judgments and one such judgment was LIC v Escort, (1986) 1 SCC 264. It was way
too long a judgment to summarize in half an hour. At that very moment of fear, the
anxiety of being judged as poor reading capacity loomed over me. I completed
the task, but always wished for some tools to assist students in researching
especially when time is all that matters.
Finally,
I took this task to create some tools that would assist students in creating a
summary of bulky papers. I created a bot on Telegram which will summarize any
judgment, paper, or any pdf with content.
Process
Technical Aspect of the bot
@altpluslaw_bot, currently
is a Telegram bot, which receives and sends pdf file to an apache tika grobid
document parser (open-source software). The software extracts citations and
references (if any) with fair accuracy (currently 60%). Once the citations and
the overall text is received then it is sent to a summarizer. Currently, I have
deployed different types of summarizers which gives the summary of the text by
reducing the number of word counts to approximately 10% of the original words.
Image as available on Telegram
Scope of Improvements
I
am working to improve the model and soon the model will be able to extract and
summarize text from websites. The next version will come with options of
summarization ratios. A new bot will be publishing three distinct newsletters
on various topics but as of now topics are alternative investment, technology
law and energy law updates.