Category Archives: Ask Catalyst

New Book from Catalyst Answers Your Questions about TAR

Ask_Catalyst_EbookHot off the press is a new, complimentary book from Catalyst that answers your questions about technology assisted review.

The new book, Ask Catalyst: A User’s Guide to TAR, provides detailed answers to 20 basic and advanced questions about TAR, and particularly about advanced TAR 2.0 using continuous active learning.

The questions all came from you – our clients, blog readers and webinar attendees. We receive a lot of good questions about e-discovery technology and specifically about TAR, and we answer every question we get. Continue reading

Ask Catalyst: How Can I Prove a Negative — That A Document Doesn’t Exist?

[This is another post in our “Ask Catalyst” series, in which we answer your questions about e-discovery search and review. To learn more and submit your own question, go here.]

We received this question:

Twitter_Ask_Catalyst_Mark_Noel

How can I prove a negative — that a document does not exist in a collection — using Catalyst Insight and Predict?

Today’s question is answered by Thomas Gricks, managing director of professional services.

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Ask Catalyst: How Did the F.B.I. Review All Those Emails So Fast?

[Editor’s note: This is another post in our “Ask Catalyst” series, in which we answer your questions about e-discovery search and review. To learn more and submit your own question, go here.]

We received this question:

Twitter_Ask_Catalyst_Mark_Noel

On Sunday, F.B.I. Director James Comey announced that his agency had completed its review of 650,000 emails it had found just eight days earlier. How could the F.B.I. review 650,000 emails in just a week?

Today’s question is answered by Mark Noel, managing director of professional services.


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Ask Catalyst: What’s the Difference Between an Initial Richness Sample and a Control Set?

[This is another post in our “Ask Catalyst” series, in which we answer your questions about e-discovery search and review. To learn more and submit your own question, go here.]

Ask_Catalyst_TC_Thomas_GricksWe received this question:

In technology assisted review, what is the difference between an initial richness sample and a control set?

Today’s question is answered by Thomas Gricks, managing director of professional services. Continue reading

Ask Catalyst: What is the Difference Between TAR 1.0 and TAR 2.0?

[Editor’s note: This is another post in our “Ask Catalyst” series, in which we answer your questions about e-discovery search and review. To learn more and submit your own question, go here.]  

This week’s question:

Twitter_Ask_Catalyst_John_Tredennick

Your blog and website often refer to “TAR 1.0” and “TAR 2.0.” While I understand the general concept of technology assisted review, I am not clear what you mean by the 1.0 and 2.0 labels. Can you explain the difference?

Today’s question is answered by John Tredennick, founder and CEO.

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Ask Catalyst: Does Insight Predict Use Metadata In Ranking Documents?

[Editor’s note: This is another post in our “Ask Catalyst” series, in which we answer your questions about e-discovery search and review. To learn more and submit your own question, go here.]
Ask_Catalyst_TC_Jeremy_Pickens
We received this question:

In ranking documents, does Insight Predict use metadata information or is the ranking based solely on the document text?

Today’s question is answered by Dr. Jeremy Pickens, chief (data) scientist.

Insight Predict, Catalyst’s unique, second-generation technology assisted review engine, does use metadata. However, there are dozens if not hundreds of different types of metadata that could be extracted from various kinds of documents. Some metadata has proven more fruitful, other metadata less so. Continue reading

Ask Catalyst: In TAR, What Is Validation And Why Is It Important?

[Editor’s note: This is another post in our “Ask Catalyst” series, in which we answer your questions about e-discovery search and review. To learn more and submit your own question, go here.]  

Twitter_Ask_Catalyst_John_TredennickThis week’s question:

In technology assisted review, what is validation and why is it important?

Today’s question is answered by John Tredennick, founder and CEO.

Validation is the “act of confirming that a process has achieved its intended purpose.”[1] It is important to TAR for several reasons, including the need to ensure the TAR algorithm has worked properly and because Rule 26(g) requires counsel to certify that the process they used for producing discovery documents was reasonable and reasonably effective.[2]  While courts have approved validation methods in specific cases,[3] no court has yet purported to set forth specific validation standards applicable to all cases or for all TAR review projects. Continue reading

Ask Catalyst: What Is Catalyst’s Student Search & ECA Practicum?

Twitter_Ask_Catalyst_Bob_AmbrogiWith law students having recently returned to classrooms throughout the U.S., we thought we’d do something a bit different with our weekly Ask Catalyst feature. We’re interviewing Patty Daly, Catalyst’s managing director of training, about Catalyst’s Student Search & ECA Practicum, a first-of-its-kind e-discovery learning program that gives law students hands-on experience using an e-discovery application. Bob Ambrogi, Catalyst’s director of communications, conducts the interview. Continue reading

Ask Catalyst: Is Recall A Fair Measure Of The Validity Of A Production Response?

[Editor’s note: This is another post in our “Ask Catalyst” series, in which we answer your questions about e-discovery search and review. To learn more and submit your own question, go here.]  

Ask_Catalyst_TC_John_TredennickThis week’s question:

Is recall a fair measure of the validity of a production response?

Today’s question is answered by John Tredennick, founder and CEO. Continue reading

Ask Catalyst: How Does Insight Predict Handle Synonyms?

[Editor’s note: This is another post in our “Ask Catalyst” series, in which we answer your questions about e-discovery search and review. To learn more and submit your own question, go here.]

We received this question:

Ask_Catalyst_TC_Jeremy_Pickens
How does Insight Predict handle synonyms? For example, assume document 1 has “car” in it and not “automobile” and document 2 has “automobile” and not “car.” If Predict gets the thumbs up on document 1, it doesn’t necessarily rank document 2 high, correct? It doesn’t know that the words are the same concept, right?

Today’s question is answered by Dr. Jeremy Pickens, senior applied research scientist.

As the Catalyst scientist who developed Insight Predict, I made the conscious, explicit choice not to build synonyms into the process. I’ll tell you why: Continuous learning obviates the issue. Continue reading