{"id":104044,"date":"2021-02-05T12:26:00","date_gmt":"2021-02-05T12:26:00","guid":{"rendered":"https:\/\/icrowdnewswire.com\/?p=2826420"},"modified":"2021-02-05T12:26:00","modified_gmt":"2021-02-05T12:26:00","slug":"lineal-delivers-lpai-trained-priv-finder-model-into-its-review-environments","status":"publish","type":"post","link":"http:\/\/ipsnews.net\/business\/2021\/02\/05\/lineal-delivers-lpai-trained-priv-finder-model-into-its-review-environments\/","title":{"rendered":"Lineal Delivers LPAi \u2013 Trained Priv Finder Model into Its Review Environments"},"content":{"rendered":"

\"Lineal <\/a> <\/p>\n

iCrowdNewswire <\/strong>  Feb 5, 2021  7:26 AM ET<\/span><\/p>\n

Lineal<\/a> Introduces LPAi \u2013 An Ai Based Privilege Doc Identifier<\/h3>\n

Dallas, USA, February 5, 2021 \u2013 <\/strong>Lineal, an Ai enabled legal technology services company has developed an Ai trained privilege identification model that scores all documents inside its review environment.  Trained on tens of millions of documents and based on NexLP Ai Model capabilities, LPAi scores every document on likelihood of being privileged and displays that score for the end user.<\/p>\n

Lineal clients can immediately understand the prevalence of potentially privileged documents within a given population, as well as the likelihood on a sliding scale of whether those documents are truly covered under the rules of legal privilege.  LPAi\u2019s model utilizes the same logic that a lawyer does to identify privilege documents by first identifying lawyers, analyzing whether they are adverse, aligned, or in-house, then finally filtering in legal and work product issues. The tool also allows for keyword inputs to round out the offering.  As the technology utilizes NexLP\u2019s entity extraction engine, all lawyers are defined as entities removing the need to search for multiple email address, chat handles, etc.<\/p>\n

\u201cLPAi dramatically improves privilege review by applying a model that \u201cthinks\u201d like a lawyer would about the rules of privilege.  Understanding which documents are likely privileged, to both prioritize those documents for review and remove the risk of missing privilege, allows us to bring even more efficiency into the review process,\u201d said Lineal CLO Jeanne Somma. \u201cThe really exciting thing, because LPAi is already providing the statistical scoring values, is that we can now confidently sample a set of documents scoring below a certain threshold to make larger decisions without having to lay eyes on each one.\u201d<\/p>\n

Lineal CTO Kit Mackie said, \u201cI love being able to develop solutions our clients get excited about.  And this one has really caused a stir!\u201d<\/p>\n

\u201cWe differentiate ourselves by building amazing solutions inside our software partners\u2019 environments.  Delivering a better privilege review is another example of how we listen to our customers and try to alleviate their pain points,\u201d said Lineal COO TJ Collins.<\/p>\n

Benefits of LPAi:<\/p>\n