Cleanlab for the Legal Industry

Cleanlab is useful for data curation and robust modeling across a variety of applications in the legal industry. Detect errors in documents and their metadata, improve annotations from paralegals, and obtain more accurate document intelligence via our data-centric AI technology.
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Case StudyDocument Review

Cleanlab Studio was used by a customer to identify errors in relevance annotations for documents during the e-discovery phase of a legal proceeding. Cleanlab automatically identified a vast number of important documents that paralegals accidentally failed to annotate as relevant. Relevance-prediction models trained inside Cleanlab Studio were 15% more accurate than the customer’s own models. Similar benefits were observed for dealing with annotations for privileged content.
15%
improvement in ML model accuracy
10x
reduction in time spent on litigation discovery

Quote from a Cleanlab Studio customer that now uses Cleanlab Studio for every legal case

I rely on you guys to be my level of scrutiny.

Using Cleanlab in litigation discovery, we can accomplish with 5 lawyers what previously required 50 lawyers.

Audit with error-estimation software based on published research with theoretical guarantees was encouraged for compliance reasons and objectivity.

Graph showing results achieved with Cleanlab on a real dataset

Case StudyEasily deploy reliable models for Legal Judgement Prediction

  ·  Model training & deployment only requires a few clicks (no technical knowledge necessary).

  ·  Cleanlab models produced in this seamless manner are more accurate than fine-tuned OpenAI LLMs (the state-of-the-art for text prediction) when applied to predict legal outcomes from court case descriptions.

  ·  Details in article: Improving Legal Judgement Prediction with Cleanlab Studio

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HOW CLEANLAB IMPROVES ANALYSIS OF LEGAL DATA

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Video on using Cleanlab Studio to find and fix incorrect labels and anomalies in text data

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Train and deploy state-of-the-art text/document classification models in 1-click (including Foundation models like GPT Transformers). Learn more.

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Provides unbiased software evaluation of diverse forms of evidence via state-of-the-art AI algorithms

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Determine which of your data annotators (i.e. paralegals) is performing best/worst overall. Learn more.

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Efficiently prioritize which content should receive a second (or even third) human review, when necessary to ensure reliable annotations. Learn more.