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Virtual Lawyer for Citizens Disclosure Number: IPCOM000246071D
Publication Date: 2016-May-03
Document File: 5 page(s) / 85K

Publishing Venue

The Prior Art Database


Disclosed is a concept along with high level design to help citizens get legal guidance in an easy to understand manner. The disclosed design of virtual agent is expected to understand situational context from natural language based question(s) or statement(s), and then get engaged in conversation mode to provide legal assistance.

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Virtual Lawyer for Citizens

In a country like India (and this is true for many other countries where citizens confidence on law-keepers is not so high), not knowing the law of the land often puts the citizens in disadvantageous positions while dealing with various situations. To counter with that ignorance, often a citizen fears of unnecessary consequences and does something silly which he/she could have avoided. For example, if someone jumps a traffic signal by mistake or get caught by police for over-speeding, most often the citizen does not show interest to know the "real" rule-book and pay the penalty accordingly. Instead, many would try to take short-cuts, indirectly helping the corruption to grow and also spend more! Situation on roads is just one small example within the big sphere of influence a common man has. If thought carefully it would be evident that limited people having access to the law has never helped the larger mass; and this problem is there in various shape and size in most of the countries. There comes the idea of leveraging cognitive computing techniques in the field of Information Technology, to understand our situational need through natural language processing, and present law to the citizens in more contextual (and hence brief) form and easy-to-understand manner.

The idea proposes to ingest the India law (Act/Chapter/Section) to Cognitive engines (e.g. IBM Watson) repository to build a Corpus on Indian Law. The "sections" being the most granular text form of law, those are expected to be ingested into Natural Language Processing (NLP) engine so that meta-tagging of those documents can be done for future semantic search. This could be followed by a question & answer based cognitive application to work on the corpus. The cognitive application will have the capability to understand the user input (questions or situational context) expressed in natural language, apply deep learning technique to derive the intent of the question, and then search for mapped sections (partial or full) to include them in answers.

The advantage of such a kind of application would be -

For a common man, it would be immensely helpful to get engaged with such application to understand legal implications against a situation which is absolutely impossible today

By having such application in mobile, a large number of citizens can be reached with access to initial legal advice. While this will not nullify the need of lawyers,

judges, and the court of law, the firsthand information on legal implication would reduce the misdoings and corruption to a large extent.

As next steps, the solution can be enhanced to include the documentation of the legal proceedings happening in various courts to the corpus; so that the decision making can be more made evidence based, instead of just the contextual search across the law books. By doing that virtual assistant would also help the judges and lawyers to prepare their briefs faster, speeding up the...