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Litigators are expected to cover every base when developing briefs for a case, so one of the tasks they often undertake is to compare opposing briefs and motions, one argument at a time. This enables them...
The science of business analytics has had a major impact on the way lawyers approach their legal work. Through data-driven technologies, savvy legal teams can glean insight and give themselves a significant advantage in the courtroom. Never heard of legal analytics? Here’s a good primer along with a handy list of Eight Legal Analytics Terms You Should Know.
Context, a powerful legal tool from the Lexis Analytics™ suite, takes data analysis to another level to help you create a strong case strategy.
Update: In the Spring of 2020, Context added a powerful module for Company Analytics to its toolkit. You can read an in-depth article on that addition here.
Built on powerful natural language processing capabilities, Context uses machine learning technology to help attorneys pinpoint precise court language. Only Context offers true case law language analytics.* It also extracts judge and expert witness data to help you do things like predict motion outcomes or see why an expert was challenged.
Click below to get a free trial* of Context.
It’s a major understatement to say that human speech and writing patterns can vary greatly—and that has major ramifications in the legal industry where individual words and phrases carry a great deal of significance. That means, in order to effectively comb through a document, a computer must learn how to recognize and interpret written human language in order to retrieve the right information for a requested search.
And that’s precisely what the data scientists and attorneys over at Ravel™ and LexisNexis® spent years doing. Through a meticulous machine learning approach, the Context tool can now pinpoint specific court language that’s relevant to your search query.
So, now that you know what Context does, how can it help your legal preparation? Simple: by knowing the precise language a judge has used in the past, you can turn around and incorporate that same language into your argument.
That means, since you’re literally using the judge’s own words, that they’ll likely find your argument compelling. And you’ll also be able to see opinions and jurists your judge cites most often—again, allowing you to mine for relevant language that they’ll likely want to hear.
Better still, Context will serve up the case in question, so you can read the details of the decision. And, via the Related Materials tab, you can find all the documents within the Lexis® database related to your judge.
While fortune-telling crystal balls are still the realm of fantasy, you can use data analytics to predict certain behavior within a relative degree of accuracy. This is another area in which Context shines. It’s able to analyze motion rates for a particular judge, so you can estimate the success of your own motion.
Say, for instance, you use Context to see that your hypothetical judge has a 96 percent denial rate for previous motions to compel. That tells you that, if your strategy includes a motion to compel, you’ll be fighting an uphill battle to get it granted—and you may want to choose a different tactic.
No crystal ball required.
What if you could see how your expert witness has been challenged in the past? Using data-driven analytics, you’re able to use Context to reveal how an expert’s testimony has fared under scrutiny. More importantly, you can glean critical intel on why testimony was included or excluded, along with what sort of cases a specific expert is most often used in.
That’s all handy information if you’re selecting an expert to buttress your case—and maybe even handier if you’re looking to cast doubt on the opposition’s expert.
If this all sounds good to you, you’ll really like this next part: LexisNexis will give you a personalized demo of the Context tool, so you can see firsthand how legal analytics can benefit your legal work.
Click here to get a Free Trial of Context*
*Data based on information available as of February 2019.