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.

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.

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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

HOW CLEANLAB IMPROVES ANALYSIS OF LEGAL DATA

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

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

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

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

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

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Cleanlab for the Legal Industry

Case StudyDocument Review

Case StudyEasily deploy reliable models for Legal Judgement Prediction

HOW CLEANLAB IMPROVES ANALYSIS OF LEGAL DATA

Related applications

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