Six Useful Suggestions To Increase The Benefits of An Assisted Review
The use of technology in assisted reviews is forthcoming. Machine learning strategies were already on the scene, long before technology assisted reviews. The main aim of a technology assisted review is to expedite accuracy, increase efficiency, reduce costs, and more importantly speed up the review process. Using a small yet representative sample set of documents, expert reviewers can train the computer system to differentiate between non responsive and responsive documents. Since electronically-stored information is seeing an explosive growth, it makes logical sense to take advantage of a technology which will not only magnify the efforts of a single reviewer but also reduce the cost and time associated with an assisted review.
The following are six practical suggestions that one can take into account when using this new technology:
1. The system should be trained viz subject matter experts
It is highly recommended that reviewers involved in training the system should do so from the start of the training process until its completion. This will maintain consistency. A review team that is not familiar with the subject matter at hand, should not be used.
2. A manager who is trained with Technology Assisted Reviews should head the team
When the case is large or too complicated, a corporation will likely outsource the review management team. This management team is usually the best choice to effectively utilize a technology assisted review. Assisted reviews are used for many purposes such as case assessments, bulk classification, and prioritizing document reviews. When the review team and review manager work together, it will result in a successful technology assisted review.
3. Learn the Technology-related jargon
There are a list of common words which a review team will frequently encounter during the review process. These common terms include richness, recall, f-measure, and precision. When everyone on the team is familiar with the same vocabulary, it ensures accuracy and a speedy review.
4. Documents with primary issues should be given priority
While reviewing documents, responsive documents should be subdivided according to primary concerns. The team should focus on two primary issues at a time.
5. Using random blind sampling ensures accurate results and avoids bias
In a technology assisted review, a built-in probability algorithm maintains the integrity of the review. If a reviewer is aware of which documents are marked as non-responsive or responsive, then it creates reviewer bias. Results obtained from a random sample will be more representative of the actual document set.
6. Consider using second-pass linear reviews
Documents that are withheld for the sake of privilege as well as those that are non-responsive, should be subjected to a second pass review.
Electronically stored Information is rapidly gaining momentum. Technology assisted reviews are gaining favour over other machine learning methods. A technology assisted review is the best choice because it increases efficiency, reduces cost, and saves time.
The following are six practical suggestions that one can take into account when using this new technology:
1. The system should be trained viz subject matter experts
It is highly recommended that reviewers involved in training the system should do so from the start of the training process until its completion. This will maintain consistency. A review team that is not familiar with the subject matter at hand, should not be used.
2. A manager who is trained with Technology Assisted Reviews should head the team
When the case is large or too complicated, a corporation will likely outsource the review management team. This management team is usually the best choice to effectively utilize a technology assisted review. Assisted reviews are used for many purposes such as case assessments, bulk classification, and prioritizing document reviews. When the review team and review manager work together, it will result in a successful technology assisted review.
3. Learn the Technology-related jargon
There are a list of common words which a review team will frequently encounter during the review process. These common terms include richness, recall, f-measure, and precision. When everyone on the team is familiar with the same vocabulary, it ensures accuracy and a speedy review.
4. Documents with primary issues should be given priority
While reviewing documents, responsive documents should be subdivided according to primary concerns. The team should focus on two primary issues at a time.
5. Using random blind sampling ensures accurate results and avoids bias
In a technology assisted review, a built-in probability algorithm maintains the integrity of the review. If a reviewer is aware of which documents are marked as non-responsive or responsive, then it creates reviewer bias. Results obtained from a random sample will be more representative of the actual document set.
6. Consider using second-pass linear reviews
Documents that are withheld for the sake of privilege as well as those that are non-responsive, should be subjected to a second pass review.
Electronically stored Information is rapidly gaining momentum. Technology assisted reviews are gaining favour over other machine learning methods. A technology assisted review is the best choice because it increases efficiency, reduces cost, and saves time.