What has and hasn't changed?

The legal industry has been prolonged when it comes to adopting technological trends and cutting-edge tools. For years the profession has heavily relied upon outdated solutions and stuck with the laborious and mundane work culture. The coronavirus pandemic has escalated the adoption of AI and automation tools across various verticals of the legal profession. What was once impossible, is now slowly becoming a reality but more importantly a necessity. From virtual courtrooms to AI-powered assistance, the courts, law firms, and corporate legal teams have started to adopt legal technologies at scale.

One of the areas of law that still uses old-fashioned tools is legal research. For years keyword-based research tools have captured the market. Although these search engines might be able to get relevant results, in some cases with the increasing amount of data each day it becomes very likely that the results will not be relevant. Today alone in India courts have digitized approximately 80 million case records and each day this number only increases. The likelihood of keyword searches not working is lofty because sometimes the document that one might get will nowhere be contextually related to what someone might be looking for. Think it this way, suppose you searched 'Murder of Democracy' and you might have gotten thousands of results. Now it is likely to happen that most of the results might be related to murder and would contain democracy as a separate word or in a separate context making your results completely haywire. Now imagine how much time it takes for someone to exactly find that context in the results, contemporary solutions do not offer any means to solve this problem

But technologies like Artificial Intelligence, NLP, and Neural Networks can be capable of solving these problems. , today a lot of traditional search engines like google and bing have completely revamped their algorithms. They are more contextual and relevant. Building it on legal data is a challenge but not impossible. LegalMind, an India LegalTech startup saw this pain point, not only framing multiple phrases and keywords logic was a challenge, but accessing the most relevant precedent always remained a challenge. LegalMind has built an AI-Powered decision support platform for legal professionals, judges, and judicial offices. The whole idea behind DeepLex is to allow layers to interact with DeepLex, type what they are looking for in normal and Lesser complex languages, or even upload a first case brief. DeepLex understands the context of the user and identifies legal propositions which it then uses to retrieve the most relevant results.

What is DeepLex?

DeepLex is the most secure and advanced tool to see exactly where to begin your research. A lawyer, legal researcher, judge, or any legal professional can get powerful legal insights from pleadings, your (or opponent's) brief, or moot problems. One can also find the most influential case laws for your case. Once a note/brief/paragraph is uploaded DeepLex goes through it and tries to figure out what might be the most appropriate legal propositions and issues from the case. It then uses AI to look for cases with similar combinations of incidents, facts, and issues from millions of cases and recommends results that have similarities. One can easily look at the results and identify which arguments are more influential, how courts treat and decide such cases, and what are precedents are more likely to be accepted while presenting a case.

Not just that, DeepLex also shows powerful visualizations which one can use to gain insights on judges and opposite counsels. This helps in framing arguments much more strategically which was never possible before. The LegalMind team is also planning to extend the prediction capabilities in DeepLex which will allow the legal professional to predict what and how a court might rule. It is also planning to develop a Judge specific decision support system that can assist judges in analyzing all possible decisions which can be made. DeepLex also offers its paid users to switch to a dark mode which is now becoming a common trend amongst SaaS tools.

A legal document can contain multiple issues, How about the time when I am trying to focus on a particular issue?
With the current release, you can copy and paste excerpts discussing that particular issue to get recommendations on that particular issue.
Though, In the next release of DeepLex, we'll be integrating functionality to let you choose from all the issues discussed, so you get more focused insights and recommendations.

How does it work?

Upload or drag and drop your document. This document can be a PDF, DOCX, or you can paste raw text.
The document is encrypted using best algorithms to make sure that no one can access the contents of your document.
The encrypted document is now transferred over a secure protocol to add an extra layer of security for your document.
The document is directly served into our proprietary artificially intelligent engine without saving or any human intervention.
Get the most influential case laws, use insights from charts to cite the strongest authorities for your case.

DeepLex shows you exactly where to begin your research. You get targeted recommendations of relevant cases to explore. Read that again — this tool shows you which cases are likely to prove vital to your legal arguments.
Think about how much time you can save.

What should I do in case I do not get the results that I am looking for?
Well, this will happen only when the document you uploaded does not contain enough information about your case. In this case, you can edit your document, try adding the issues that you want to get recommendations for and upload it again.

How secure is it to upload a sensitive legal document in DeepLex?LegalMind uses state-of-the-art industry-standard protocols to transfer your file over the internet to ensure maximum security for any sensitive document that you want to analyze using DeepLex.