Law Firms, Say Hello to Your Robot Lawyer

The new robot lawyer will be better than the human one with the help of artificial intelligence (AI). The use of AI, although still in its infancy, is changing the legal profession profoundly.

What is AI?
Artificial intelligence is the term used when computers and machines are able to perform tasks that are characteristic of human intelligence. This includes understanding language, solving problems and making decisions based on patterns and data.

Computers can perform these tasks multiple times faster than any human. Because AI can scan and analyze large sets of data and learn from the data, it can see patterns that humans cannot.

Being able to learn tasks on their own, without human intervention, is known as machine learning. Machine learning is accomplished by giving data to the algorithms so they can learn and improve.

This is why the use of AI in the legal profession is a game-changer.

Legal Research and E-Discovery
The first areas of the legal profession that embraced the use of AI are legal research and document review, or e-discovery. Legal search programs like Westlaw and Lexus can compile hundreds of relevant cases in the blink of an eye, with great accuracy. Every decision handed down by judges in the country is scanned by these programs. Every word in each decision is a data point that is categorized and analyzed.

E-discovery can also benefit from AI. Large companies can create huge amounts of data in just one day. If a lawsuit requires examination of documents spanning 20 years, any law firm would need an army of document reviewers. With AI, however, this task can be accomplished in a fraction of the time, at a fraction of the cost and with greater accuracy.

To accomplish a high level of accuracy in e-discovery, predictive coding, a form of machine learning, is implemented. Predictive coding is very efficient at accurately locating and retaining pertinent documents in a data set. Predictive coding pulls out sample sets from the larger data set and codes them either as “responsive,” a document is pertinent to the lawsuit, or “unresponsive.” With several sample sets coded in this fashion, the AI software can refine itself for better accuracy of predicting the responsiveness of future documents. ..Read More..

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