Looking for the best explaination of TAR technology? Luckily this post provide quit a long details about TAR, including how TAR technology works, TAR 1:0 predicting coding,TAR 2:0 continues learning, and how TAR can improve your work.
Moreso we throw more light on how you can use TAR technology without no issues, types of TAR and the difference between manual review and Technology assistant review (TAR). Continue to read to unveil top best benefits of having TAR technology and the lattest features of it.
What is TAR? best concept of TAR.
Technology-assisted review (TaR) it is an easier method managing the review phase of eDiscovery, by creating a system that can identify potentially valid or interesting record documents.” TAR technoloechnology is basically faster than manual review and it’s 100 percent reliable and accurate.
“Although the specific approaches to TAR vary, the general idea is that the technology “watches” as a human reviewer codes documents. It then uses natural language processing, a form of artificial intelligence, to discern which words and phrases are associated with tags for relevance, privilege, or other factors. As the technology learns, it continually evaluates the corpus of remaining documents and floats those that it expects to be important to the top of the pile for human review.
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How does TAR works?
“TAR works much like a Spotify playlist that’s guided by the listener’s preferences or a streaming service like Amazon or Netflix that makes recommendations based on previous entertainment choices. In this case, though, TAR follows the judgment of human subject-matter experts to determine document responsiveness.”
What are the types of TAR?
There are two general variations of TAR: TAR 1.0, also known as “predictive coding,” and TAR 2.0, also known as “continuous active learning.” With both versions, the subject-matter expert trains the algorithm, which then follows a defensible workflow to make relevancy decisions in a consistent, cost-effective manner. The difference lies in how that training begins.
Two types of TAR
1. TAR 1:0 Predictivecoding
Predictive coding is a type of document review in which a senior lawyer first analyzes a randomly selected “seed set” of documents. The lawyer’s decisions are then fed into the predictive coding software to train the algorithm to find similar responsive documents.
As lawyers feed the algorithm more documents, the review team tests the system for quality and accuracy. The review team continues to provide more documents to the system to refine it until the algorithm is sufficiently accurate. Once this threshold is met, the algorithm ranks the remaining documents according to how responsive they are.
“Documents that the algorithm determines are nonresponsive are sampled by the human review team to ensure that they have been correctly classified”.
2. TAR 2:0 continues learning
In TAR continuous active learning, there is no initial seed set of documents. Instead, the review team simply begins coding the documents while the computer continuously learns in the background.”
With each code entered, the algorithm updates its information and sorts the remaining documents according to its current understanding. The algorithm provides the review team with documents it calculates are most likely to be responsive.
(“The review continues, with the computer learning from each human decision, until the system reaches a point of diminishing returns where the remaining documents are not relevant to the review.”)
The benefits of TAR in office and house?
TAR delivers much-needed eDiscovery cost and efficiency savings. First, TAR is far quicker and less costly than traditional manual review. Instead of paying lawyers who bill by the hour, now the tedious grunt work of document review can be completed in a fraction of the time using machine learning and automation. This allows lawyers to focus their brain power on higher-level, more valuable strategic work.
Hopefully I believe that I have provided a quit clear information about TAR Technology, making use of it would be fantastic as it will make your work more easier and faster. Technology assistant review is the best for analysis and accurate documents report than human review.