AI for Legal Practice
Servient accelerates decision making to improve the efficiency and quality of legal workflows.
Servient’s advanced machine learning technology combines the latest innovations in NLP with proprietary machine learning techniques to deliver the most effective solution in the industry. Contextual language understanding and an ensemble of algorithms achieve a new level of cognitive understanding to automate legal workflows.
Servient continuously learns from the legal users’ decisions and actively guides the process to surface documents for review to allow the technology to best learn.
In development for over a decade, Servient delivers the advanced solution as a machine learning platform. Legal teams can quickly assemble AI solutions for many legal workflows.
Decisions Accelerated
Contextual Understanding
Continuous Learning
Ensemble of Algorithms
High Recall
Flexible Platform
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Lawyer “In The Loop” Workflows
Servient implements a “Lawyer in the Loop” solution continuously learning from the determinations made by the legal team during data review to constantly improve the effectiveness of the machine generated decisions.
Servient evaluates the determinations made on a small subset of data and learns to make decisions automating legal workflows. For example, if a lawyer determines the relevance for a small subset of documents, Servient automatically decides relevance for all documents involved in a legal matter.
Servient avoids the limitations associated with “plug-in” tools, as Servient’s advanced machine learning is embedded within the fabric of Servient’s platform. The legal team can quickly assemble legal workflow solutions driven by machine learning by configuring the flexible components in the Servient platform.
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Legal Decisions Accelerated
Machine Learning for Legal Use Cases
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MACHINE LEARNING FOR eDISCOVERY
Speed To The Relevant Data
Servient’s machine learning solution is built with the litigator in mind. Clients expect their lawyers to be great advocates, not data scientists. No technical expertise or special skills are required to harness the power of Servient’s machine learning. Simply review the documents, make relevance judgments and the machine will take care of the rest.
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Technology Assisted Review
Servient reliably identifies the relevant documents in a legal matter. Servient implements a continuous learning process, meaning that Servient scores the entire data set at every stage of the process and continuously updates the document probabilities as documents are reviewed.
Servient “actively” learns by automatically suggesting documents to review which will allow the technology to best learn while minimizing the number of documents required to be considered to achieve optimum accuracy.
Wonder how many courts have approved the use of machine learning in eDiscovery? Take a look at the overwhelming court approval in Servient’s Machine Learning Case Digest.
Technology Assisted Culling
Let’s face it, a list of keywords is a blunt tool that is ineffective at identifying all potentially relevant documents. Keyword searching typically results in the promotion of a substantial amount of irrelevant documents for expensive legal review. If lawyers try to narrow the search, a large number of relevant documents are lost.
Data culling driven by machine learning identifies a greater number of relevant documents, while limiting the amount of irrelevant documents promoted to review. Servient’s integrated ECA tool allows counsel to quickly create machine learning powered culling with the ease of few clicks.
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Powering the Review Team of the Future
Our modern workflow reduces review. Machine learning lets the legal team focus on relevant documents.
STATISTICAL VALIDATION
Defensible Process With Built-In Statistical Validation
Servient’s built-in tools statistically validate the effectiveness of the machine learning process. In addition to validating results automatically in the background, Servient provides audited sampling allowing counsel to quickly report to management, adversaries, regulators and courts.
Servient has been used to produce documents in various jurisdictions in many countries, as well as regulators including the USDOJ, SEC, FTC, CFTC, FERC, FCC and state attorneys’ general.
The proven maturity of Servient’s machine learning technology and embedded workflows ensure defensibility of process.
statistical validation dashboard