Best Legal Software for Python

Find and compare the best Legal software for Python in 2024

Use the comparison tool below to compare the top Legal software for Python on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Aid4Mail Reviews
    Top Pick

    Aid4Mail

    Fookes Software Ltd

    $59.95
    12 Ratings
    Aid4Mail is a leading email processing tool from Switzerland. It comes in three editions: 1. Use Converter to collect and convert emails accurately, fast, and reliably. It supports all popular mail services (e.g. Office 365, Gmail, Yahoo! Mail) and mailbox file formats (e.g. PST, OST, OLM, mbox). It’s also a popular solution for preparing mail ingestion into archival, eDiscovery and forensics platforms. 2. Investigator adds powerful search queries based on Gmail and Microsoft 365 syntax, native pre-acquisition filters and Python scripting. Use its forensic features to recover deleted and hidden email, and process corrupt or unknown mail formats. 3. Enterprise adds support for Google Vault, Mimecast, and Proofpoint exports. Use it to migrate your company mail to live accounts (IMAP, Microsoft 365, Gmail). You can integrate its CLI seamlessly with your own tools. Enterprise offers flexible licensing options including installation on a server or on a shareable flash drive. Aid4Mail is used by Fortune 500 companies, government agencies and legal professionals around the world.
  • 2
    HoundDog.ai Reviews

    HoundDog.ai

    HoundDog.ai

    $200 per month
    AI-powered code scanner designed to implement a proactive shift-left strategy in order to protect sensitive data and ensure privacy compliance. Privacy teams are unable to keep up with product development, which leads to constant updates of outdated data maps. This is a major burden on their team. HoundDog.ai’s AI-powered scanner can continuously detect vulnerabilities where sensitive data has been exposed in plaintext via mediums such a logs, files or tokens. Cookies and third-party systems are also included. Get context and remediation techniques, such as omitting PII, masking or obscuring sensitive data, or using UUIDs in place of PII. Receive alerts based on the sensitivity of new data elements and prevent changes to products that are not within scope from going live. Eliminate manual, error-prone security tasks.
  • 3
    Roseman Labs Reviews
    Roseman Labs allows you to encrypt and link multiple data sets, while protecting the privacy and commercial sensitivity. This allows you combine data sets from multiple parties, analyze them and get the insights that you need to optimize processes. Unlock the potential of your data. Roseman Labs puts the power of encryption at your fingertips with Python's simplicity. Encrypting sensitive information allows you to analyze the data while protecting privacy, commercial sensitivity and adhering GDPR regulations. With enhanced GDPR compliance, you can generate insights from sensitive commercial or personal information. Secure data privacy using the latest encryption. Roseman Labs lets you link data sets from different parties. By analyzing the combined information, you can discover which records are present in multiple data sets. This allows for new patterns to emerge.
  • 4
    Tumult Analytics Reviews
    Built and maintained by a group of differential privacy experts and used in production at institutions such as the U.S. Census Bureau. Spark-based and supports input tables with billions of rows. Supports an ever-growing number of aggregation operators, data transformation operators and privacy definitions. Perform public and privacy joins, filters or user-defined function on your data. Calculate counts, sums and quantiles under multiple privacy models. Our simple tutorials and extensive documentation make it easy to differentiate privacy. Tumult Analytics was built on Tumult Core - our sophisticated privacy foundation. Tumult Core mediates access to sensitive information and means that each program and application has an embedded proof of security. Composed of small, easily-reviewable components. Stability tracking and floating point primitives that are proven to be safe. Generic framework based on peer reviewed research.
  • 5
    Data Sentinel Reviews
    As a leader in business, you must be able to trust your data, and be 100 percent certain that they are accurate, well-governed and compliant. Include all data from all sources and all locations without limitation. Understanding your data assets. Audit your project for quality, compliance and risk. Catalogue a complete inventory of data across all data types and sources, creating a shared understanding about your data assets. Conduct a fast, accurate, and affordable audit of your data. PCI, PII and PHI audits can be completed quickly, accurately and completely. No software to buy, as a service. Measure and audit the data quality and duplication of data across all your enterprise data assets - cloud-native or on-premises. Ensure compliance with global data privacy laws at scale. Discover, classify and audit privacy compliance. Monitor PII/PCI/PHI and automate DSAR processes.
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