12 thoughts on “Going “All Out” for Predictive Coding and Vendor Cost Savings”

  1. Might the term “proportionate review” be better than “proportional review”? The latter suggest that some fixed proportion of the document set is being reviewed; or, when used (as here) in reference to manual review and ranked retrieval, that the probability of a document being sampled for review is some (inverse) proportion of its rank.

  2. Ralph,

    In your extensive review of vendor offerings did you find that all vendors base their machine learning (i.e., training) on LSI or SVM? I know predictive coding is a process, rather than a technology, but I am just looking for some clarity as to whether there are other approaches to digesting and categorizing the characters on a given page of text. I have read a fair amount about how those algorithms work and I’d like to read up on anything else that is out there.

    Also, one common misconception seems to be that the training portion of the predictive coding process involves the consideration of system and application meta-data. Did you find this to be the case in any of the offerings you reviewed? Everything I have read suggests the training process does not involve system or application metadata. Rather, those nuggets of information must be considered separately elsewhere in the process. Thanks.

    1. I’ll try to anser your two Ques:

      1. Both, and more. All kinds of systems, which are well proven, just new to legal search. At least that is what I have been told by several academic types with no skin in the game. It is not new unproven technology

      2. I think all of the ones I looked at included the basic metadata fields. Not sure where you heard that. Could you send references to the readings you mentioned? Maybe there are some limitations with some software, but I’m not aware of that.

      Caveat FYI – I did not look at all vendors or all predictive coding software. Not even close, as I had many other criteria to consider, not just predictive coding. So calling my review “extensive” is an overstatement.

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