Your closed matters are what AI data buyers ask law firms for. Your clients decide whether they can go.

Litigation boutiques, mid-size firms and in-house legal teams with years of closed matters: managing partners, general counsel and legal operations leads deciding whether finished work can be licensed.

AIData.Broker values what your firm holds against public prices. The firm's own records (its playbooks, procedures and books) we sell for you, described without your name to every buyer whose published rules they meet, and our fee is due only if a sale closes. Clients' files we do not take to market: with each client's written consent, we introduce your firm to a buyer whose listing takes such firms, free for you.

5

buyers quoted below on what they want from companies like yours

5 of 5

kinds of record below that the valuation measures or values

4

rights questions to settle before a buyer sees a record

What companies like yours hold

What you typically have, where it sits, and whether the valuation can measure or value it. Buyers price what exists together, over how many years, and how well it links.

  • Closed litigation files
    Where it sits, and what the evidence shows
    Pleadings, filings, discovery productions and matter correspondence, usually in Relativity, Everlaw, iManage, NetDocuments, Clio.
    How the valuation reads it
    Measured from your documents exportCounted with documents and knowledge
  • Completed transaction files
    Where it sits, and what the evidence shows
    Data rooms, every draft of the agreement with its redlines, and the deal correspondence.
    How the valuation reads it
    Measured from your documents exportCounted with documents and knowledge
  • Custodial email and chat from discovery
    Where it sits, and what the evidence shows
    Produced in litigation, so the protective order and the producing party's rights travel with it.
    How the valuation reads it
    Measured from your email exportCounted with conversations
  • The firm's own know-how
    Where it sits, and what the evidence shows
    Clause libraries, negotiation playbooks with the reason for each position, review checklists: the part the firm owns outright.
    How the valuation reads it
    Measured from your documents exportCounted with documents and knowledge
  • The firm's own books
    Where it sits, and what the evidence shows
    Matters, hours and invoices in practice management.
    How the valuation reads it
    Measured from your finance records exportCounted with finance records

What buyers say they want from companies like you

In their own words, from their own pages or from reporting on what they bought. Each opens its source.

  • “License complete files from closed matters and completed deals.”
    Mercor, its listing "Law Firm"Its own page, 27 Oct 2026
  • “Complete files from closed matters or completed transactions. Matters with 500+ documents. Client consent, or documents that can be fully anonymized”
    Mercor, what the listing asks forIts own page, 27 Oct 2026
  • “Custodial email and chat from discovery. E-discovery exports. Contract repositories. Transaction data rooms”
    Mercor, what it would also likeIts own page, 27 Oct 2026
  • “Legal Contracts, case files, discovery docs”
    MercorIts own page, 12 Oct 2026
  • “Policies, contract workflows, review processes, governance documentation, and compliance procedures”
    micro1Its own page, 12 Oct 2026

What raises the value

  • The whole file of a closed matter: pleadings, discovery, correspondence and the outcome together.
  • Large matters: Mercor's listing says "Single matters with hundreds or thousands of documents are the most valuable".
  • Years of closed matters in the same practice areas (the listing asks for "5+ years of closed matters"), so a buyer sees judgment change with the facts.
  • Clients who have agreed in writing before anything is offered.
  • Native exports from the review platform with their metadata, not printouts or scans.

What lowers the value

  • What the listing rules out: "Active matters", "Privileged material clients won't release", "Single filings without the rest of the file".
  • Publicly filed documents alone, which buyers can already read.
  • Scanned images with no text layer.

A line that quotes a buyer names it. The others are our checklist, drawn from the factors buyers state in general: no buyer publishes how much each one moves a price. How often each factor matters across 156 kinds of data.

The rights to settle first

These stop a sale more often than price does. Each can be settled before any buyer sees a record.

The full rights checklist
  • A law firm's matters, emails and documents are its clients' confidences, privileged or not, which a lawyer may not reveal without the client's consent (in England and Wales, SRA Code for Firms 6.3; in the US, each state's confidentiality rule), and a firm that prepares tax returns may not disclose or use what clients furnished for their returns, their names included, without each client's written consent (26 U.S.C. 7216). Removing names does not release the firm from either duty.
  • Privilege must survive any transfer. The Spirit Airlines sale agreement wrote it in: the sale "shall not result in the loss of any attorney-client privilege, work product or other similar protection" (as reported, Aug 2026).
  • Protective orders cover documents produced in litigation, and many require them to be returned or destroyed when the matter ends: those documents are not the firm's to license.
  • Engagement letters may say who owns the file and what happens to it at the end of the matter: read them before counting a matter in.

What is already on offer from companies like you

Read this morning from the brokers' and marketplaces' own catalogues. A buyer compares your records with these; settled rights, more years and more linked systems are what set one apart.

Every lot on offer

8

lots on offer like yours

13 years

of history in the middle of them

1 of 7

say the rights are settled

What holders like you ask

Can a law firm sell closed case files to AI companies?
With each client's written consent, a buyer publishes that it will: Mercor's listing for law firms reads "License complete files from closed matters and completed deals." Mercor's listing for law firms puts a deal at $50,000 to $1,250,000 ("Depends on matter size and completeness"). Active matters are out, and so are files a client will not release.
Is anonymising the files enough, or do we need every client's consent?
The listing accepts "Client consent, or documents that can be fully anonymized". We hold the firm to more: a lawyer may not reveal a client's confidences without the client's consent, privileged or not, and removing names does not end that duty. So each client agrees in writing before any of their files leaves the firm.
What size of firm do buyers want?
Mercor's listing asks for 5–300 attorneys and staff (United States preferred) and names "Litigation boutiques, mid-size full-service firms, in-house legal departments, e-discovery providers".
What will a buyer ask us first?
Mercor's listing names its first questions: "Do you keep complete discovery productions for closed matters?", "What is your largest matter by document count?", "Would clients accept anonymized licensing?", "Which practice areas?". Have the answers from your review platform before you start.
How do we sell through you?
Start with the valuation. We don't take a firm's client files to market. Where closed client work is what a firm would sell, the valuation offers it an introduction to a buyer whose listing takes such firms, free for the firm, and shows before it chooses what that buyer may pay us for the introduction. Each client's written consent comes before any of their files leaves your firm: removing names does not end your duty to them.

In this topic

What sells

  1. Start hereWhich data do AI labs want, and who holds it?Each kind of data the market prices, the businesses that hold it, what labs are asking for now and what they turn away.
  2. GuideWhat Are RL Environments? Who Builds, Buys and Prices ThemAn RL environment is a sandbox where an AI agent attempts tasks with tools and a verifier scores each try. Who builds them, who buys them and what they cost.
  3. GuideHow to Sell Your Videos for AI Training: Prices and BuyersAI companies pay to license your videos for training, by the hour or the minute. What each buyer pays, which footage sells, and the rights every frame needs.
  4. GuideSelling audio and speech recordings for AI trainingWhat AI companies pay for call recordings, podcasts, radio, meeting audio and voice data, why archive audio sells cheapest, and the recording-consent law state by state.
  5. GuideSelling photos and image archives for AI trainingWho buys photos for AI training, what stock agencies pay contributors (shares and bonuses, not prices), what image archives sell for, consent and releases agency by agency, and how to prepare a library for a sale.
  6. GuideSelling your company's Slack data for AI training: what the export allows and who buys itYes, a company can license its Slack history to AI buyers. What Slack's export and API terms allow on each plan, whose messages are inside, what buyers pay and the steps.
  7. GuideSelling company documents and shared drives for AI trainingYes, a company can license its documents, wikis and shared drives to AI buyers. Which documents they pay for, what Google Workspace, Microsoft 365, Confluence and Notion let you export, who owns the files, and the steps.
  8. GuideSelling customer support tickets and chats for AI trainingOften yes, after three checks: your customer contracts and privacy notice, your help desk's export terms, and removing personal data. What buyers want in a ticket, what records with tickets fetch, and the steps.
  9. GuideSelling a company's email archive for AI training: exports, consent and priceYes, a company can license its own email to AI buyers. How Google Workspace and Microsoft 365 let you export a whole organisation's mail, the deadlines when a subscription lapses, the law on staff and customer messages, and what buyers pay.
  10. GuideSelling CRM data for AI training: Salesforce and HubSpot records, consent and priceA company can license its CRM history to AI buyers, but CRM records are customer data first. What buyers value in Salesforce and HubSpot, how each lets you export, why the contact list usually stays out, and what CRM history fetches.
  11. GuideSelling meeting recordings and transcripts for AI trainingCan a company license its Zoom, Google Meet or Teams recordings and notetaker transcripts to AI buyers? Recording consent state by state, what Zoom's terms allow, what meeting audio and transcripts fetch, and the steps.
  12. GuideSelling accounting and finance records for AI training: QuickBooks, Xero and NetSuiteA company can license its accounting history to AI buyers, but finance records carry customers', suppliers' and lenders' confidential terms and staff payroll. What buyers value in QuickBooks, Xero and NetSuite books, how each lets you export, what has to come out, and what finance records fetch.
  13. GuideSelling Jira and Linear issue history for AI trainingYes, a company can license its Jira or Linear issue history to AI buyers. It is valued when each issue links to the code that closed it. What each export keeps, what buyers ask for, and what it fetches.
  14. GuideSelling design files and product history for AI training: Figma and beyondYes, a company can license its Figma files and design history to AI buyers. What buyers value, what Figma lets you export, client work, fonts and other assets that are not yours, who owns the designs, and the steps.
  15. GuideSelling IT service desk records for AI training: ServiceNow tickets, runbooks and incidentsOften yes. IT tickets, incidents and runbooks teach agents to resolve real problems, once credentials, hostnames and people are removed. What ServiceNow and Jira Service Management let you export, what buyers ask for, and what the records fetch.
  16. GuideSelling Books to AI Companies: Prices, Deals and Who Gets PaidAI companies license books by the title, mostly from publishers' backlists. What deals paid per book, how much reaches the author, and how to sell a catalogue.
  17. GuideSelling Game Code and Game Data to AI CompaniesAI companies license game studios' code with its history and gameplay recorded with the player's inputs. Who buys, what studios are offered, and what you may not sell.
  18. PageWhere data comes fromWho holds each kind of data, how much exists and how it reaches buyers.
  19. RegisterCompanies closingCompanies closing, sold or gone dark, and the records they leave.

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