Law firms
Law Firms: A Practical Guide to Licensing Historical Business Data for AI
AI-assisted educational guide with automated source checks. FirmSignal is independent of Mode and may earn a referral fee if you complete a qualifying transaction through our link. Eligibility, valuation, terms and data handling are determined by the buyer.
Law firms generate vast amounts of data through their daily operations, including matter workflows, internal procedures, and correspondence. This data can be valuable for AI research and training, but it's essential to ensure that sensitive information is protected and that the data is handled in compliance with relevant laws and regulations. In this guide, we'll explore the opportunity for law firms to license their historical business data for AI, what makes operational context useful, and provide a concrete first assessment of the process.
Understanding the Opportunity
Law firms can benefit from licensing their historical business data for AI research and training. This can provide a new revenue stream and help unlock the value of years of everyday work. However, it's crucial to ensure that sensitive information is protected and that the data is handled in compliance with relevant laws and regulations. Mode, a company that buys and de-identifies operational business data for AI research and training, offers a program for companies to monetize their data while keeping their original records and systems [1].
- Review company data and systems
- Assess data quality and volume
- Determine eligibility for Mode's program
What Makes Operational Context Useful
Operational context is essential for AI research and training. It provides valuable insights into how businesses operate, including workflows, procedures, and decision-making processes. This context can help AI models learn from real-world examples and improve their performance. Law firms can provide this context by licensing their historical business data, which can include matter workflows, internal procedures, and correspondence.
- Identify relevant data sources
- Assess data relevance and quality
- Determine data exclusions
Concrete First Assessment
To get started, law firms should conduct a concrete first assessment of their data and systems. This involves reviewing company data and systems, assessing data quality and volume, and determining eligibility for Mode's program. A hypothetical example of a law firm's data inventory might include: matter workflows, internal procedures, correspondence, and billing data. The firm would need to exclude privilege, client confidences, and protected matters from the data to be licensed.
- Review data inventory
- Assess data exclusions
- Determine data scope
Data Protection and Security
Data protection and security are critical when licensing historical business data for AI. Law firms must ensure that sensitive information is protected and that the data is handled in compliance with relevant laws and regulations. The Federal Trade Commission (FTC) provides guidance on protecting personal information, including taking stock of what personal information is held, scaling down to only what is necessary, locking it to protect it, pitching it when no longer needed, and planning ahead for security incidents [2].
- Implement data security measures
- Conduct regular security audits
- Train employees on data security best practices
Hypothetical Worked Example
A hypothetical law firm, XYZ Law, has a data inventory that includes: matter workflows (system: case management software, date coverage: 2018-2022, internal owner: litigation department, useful workflow context: document management, exclusions: privilege, client confidences); internal procedures (system: document management software, date coverage: 2015-2020, internal owner: administrative department, useful workflow context: policy development, exclusions: protected matters); correspondence (system: email software, date coverage: 2012-2018, internal owner: communications department, useful workflow context: client communication, exclusions: sensitive client information); and billing data (system: accounting software, date coverage: 2010-2015, internal owner: finance department, useful workflow context: invoicing, exclusions: financial information). XYZ Law would need to review this data inventory, assess data exclusions, and determine data scope before licensing their historical business data for AI.
- Review data inventory
- Assess data exclusions
- Determine data scope
Questions to Ask a Buyer
When licensing historical business data for AI, law firms should ask potential buyers several questions, including: What data is being requested? How will the data be used? What security measures will be taken to protect the data? What are the terms of the license agreement? What are the payment terms?
- Ask about data usage
- Inquire about security measures
- Review license agreement terms
- Discuss payment terms
Uncertainty and Next Steps
Licensing historical business data for AI can be a complex process, and law firms may have uncertainty about the suitability of their data or the terms of the license agreement. To address these concerns, law firms should consult with qualified professionals, review the terms of the license agreement carefully, and ensure that they understand the implications of licensing their data.
- Consult with qualified professionals
- Review license agreement terms
- Ensure understanding of data implications
Frequently asked questions
What is Mode's program for licensing historical business data for AI?
Mode's program allows companies to monetize their operational business data for AI research and training while keeping their original records and systems. The program involves de-identifying the data to protect sensitive information and providing it to AI developers for research and training purposes [1].
How does the FTC guide businesses on protecting personal information?
The FTC provides guidance on protecting personal information, including taking stock of what personal information is held, scaling down to only what is necessary, locking it to protect it, pitching it when no longer needed, and planning ahead for security incidents [2].
What should law firms consider when licensing their historical business data for AI?
Law firms should consider the quality and volume of their data, the relevance of their data to AI research and training, and the terms of the license agreement. They should also ensure that sensitive information is protected and that the data is handled in compliance with relevant laws and regulations.
Sources and further reading
Program criteria can change. Confirm current eligibility and written terms with the buyer. Hypothetical examples illustrate preparation and are not actual transactions.