/Legal advice(72) /Harvey
Legal advice 2024-06-17
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Harvey

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Augment your legal workflows with our AI platform.
Overview
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Harvey is an AI platform specifically designed for the legal sector, providing tailored tools for elite law firms. Harvey leverages large language models trained on complex legal tasks, then fine-tunes them with domain expertise, enabling it to handle high-stakes legal challenges across all practice areas, jurisdictions, and legal systems.

The platform offers a range of products to augment various legal workflows, including research and document analysis. With Harvey, users can answer intricate research questions based on trusted laws and regulations, along with creating, analyzing, comparing, and querying different types of legal documents using natural language.

Harvey also provides a governance feature that gives lawyers unprecedented visibility into their firm's productivity, allowing them to track work created on the platform by attorney, client matter, practice area, etc.

This feature ensures fine-grained control over usage and data provenance. Harvey prioritizes security, implementing industry high standards through its deployment on Microsoft Azure, ensuring that the firm's data is always safe.

Furthermore, it provides comprehensive security accreditations and is advised by top security experts.

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Harvey was manually vetted by our editorial team and was first featured on April 8th 2023.
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    • 72 alternatives to Harvey for Legal advice

    Pros and Cons

    Pros

    Generates custom LLMs
    Handles across all jurisdictions
    Seamlessly integrates into workflows
    Ability to handle high-stakes legal challenges
    Products for various legal workflows
    Aids in legal document analysis
    Gives visibility into firm's productivity
    Fine-grained control over usage
    High-security standards
    Deployment on Microsoft Azure
    Comprehensive security accreditations
    Industry advice by top security experts
    Full data segregation
    Research assistance
    Draft and compare legal documents
    Natural language querying
    Workflow augmentation
    Custom tailored tools
    Domain specifically trained models
    Platform tracks work by attorney
    Platform tracks work by client matter
    Platform tracks work by practice area
    Supports complex legal tasks
    Provides regulation compliance
    Tool for legal automation
    Legal research and document analysis aid
    Can handle large legal datasets
    SOC2 II and ISO 27001 certified
    GDPR and CCPA compliance
    Built specifically for legal sector
    Can augment professional services
    Visibility into firm's productivity
    Handles unprecedented legal scenarios
    Enhances legal practice efficiency
    Facilitates legal workflow automation
    Provides regulation compliance

    Cons

    Specific to legal sector
    Custom LLM creation complexity
    Dependency on Microsoft Azure
    Limited to elite law firms
    May require substantial training
    No mention of multi-language support
    Requires large legal datasets
    Specific legal systems compatibility
    Accuracy dependent on legal domain data
    Potential bias in generated content

    Q&A

    What is Harvey's main function for law firms?
    How does Harvey increase work efficiency for legal professionals?
    Can Harvey be integrated into current workflows of law firms?
    What makes Harvey different from other AI legal tools?
    What are 'custom LLMs' created by Harvey?
    How does Harvey handle legal data from multiple jurisdictions?
    Does Harvey offer any tools for legal research and document analysis?
    What is the purpose of Harvey's governance feature?
    How does Harvey ensure the security of the Law firm's data?
    What security standards does Harvey adhere to?
    How does Harvey utilize natural language in legal document analysis?
    Can Harvey provide insight into a law firm's productivity?
    What kind of legal challenges can Harvey handle?
    Is Harvey compliant with GDPR and ISO 27001?
    Can Harvey work across all practice areas?
    What type of legal documents can be analyzed using Harvey?
    How is Harvey tailored for elite law firms?
    Where is Harvey deployed?
    How does Harvey handle large legal datasets?
    How is Harvey able to provide legal advice across different legal systems?

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