Data category

Legal Practice Data

Contract drafts and redlines, due-diligence issue lists and research memos — licensed only with client consent.

Evaluate Your Data Request this type of data

A legal dataset for AI is a set of real legal work product, such as contract drafts, redlines and research memos, linked to what happened next. AI teams use it to train and test tools that draft, review and research. The best records show expert judgment: what a senior lawyer changed, and why. DataNexx helps firms and legal teams license these records with client consent, after names and parties are removed.

Why it matters for AI

Recorded, judged, resolved.

A redline history shows how experienced lawyers turn a first draft into an agreement both sides sign. These records are confidential and often privileged, so they are licensed only with the client's consent and the firm's written authorization, after names, parties and identifying details are removed.

Typical data

Contract drafts & redlines
Final signed versions
Senior review comments
Due-diligence issue lists
Research memos with outcomes
Pleadings & judgments
Clause libraries & playbooks
Contract approval workflows

Representative workflow

Illustrative

01Instruction
02First draft
03Counterparty redline
04Senior review
05Negotiated revision
06Signed agreement
07Recorded deal outcome

Who typically holds it

Law firms
In-house legal departments
Contract-management teams
Alternative legal service providers

Potential AI applications

Contract drafting and review assistants
Clause extraction and risk flagging
Legal research models
Evaluation sets with expert-reviewed answers

Guide

What is in a legal dataset, and where does it live?

Most legal work product already sits in a few systems. A document management system (DMS) holds drafts and versions. A practice management system holds matters, time entries and outcomes. A contract lifecycle management (CLM) tool holds templates, approvals and signed agreements.

The useful unit is a matter, not a folder. One matter can link the instruction, each draft, the counterparty's redline, the review comments and the signed result.

Version histories from the DMS, with tracked changes kept
Clause libraries, playbooks and fallback positions
Due-diligence issue lists with how each issue was resolved
Research memos with the question asked and the answer given

What do AI teams build with legal data?

Public case law is already widely used to train models. Negotiated contracts and internal memos are not public, so they teach what public text cannot: how deals are actually negotiated.

Teams use redline histories to train drafting and review assistants. They use issue lists and labelled contracts to train legal data extraction: pulling parties, dates, clauses and obligations out of documents, and flagging risk. Memos with checked answers become evaluation sets, so a team can measure whether a legal model gets the answer right.

How do privilege and client confidentiality affect legal data licensing?

Legal records carry stricter limits than most business data. A lawyer's duty of confidentiality covers client information, and attorney–client privilege protects legal advice. Work product belongs to the firm only in part; the client usually has a say. So nothing is licensed without the client's informed consent and the firm's written authorization.

Court records need care too. A public filing may still be sealed, redacted or covered by a protective order. Documents produced in discovery are often limited to the case they were produced in. These are excluded unless counsel confirms they can be used. This page is not legal advice; your counsel decides.

How does a firm prepare a first description?

You do not send documents to start. A short written description is enough for a first review.

Which practice areas and document types you hold
Roughly how many matters, over which years
Which systems hold them (DMS, practice management, CLM)
Whether client engagement terms allow reuse, or consent is needed

Example record (illustrative)

Illustrative record: a fictional, de-identified contract negotiation. Not a real matter.
Field	What it holds
Matter type	Commercial supply agreement, buyer side
Draft versions	First draft, counterparty redline and two negotiated revisions
Clause changed	Limitation of liability, cap raised from fees paid to twice fees paid
Review comment	Senior lawyer's note explaining the fallback position
Outcome	Signed on the second revision, no further changes
Redactions	Party names, people, prices and dates replaced with tokens

Frequently asked questions

Is a legal dataset the same as a case-law database?

No. Case law is public and already widely used. A licensed legal dataset is private work product, such as negotiated contracts, redlines and memos, that the public web does not contain.

Can a law firm license client documents?

Only with the client's informed consent and the firm's written authorization. Privileged and confidential material stays out unless both agree. Names, parties and identifying details are removed first.

Are sealed filings or discovery documents included?

No. Sealed records, protective-order material and documents produced in discovery are excluded unless counsel confirms they may be used.

Does the firm pay anything to take part?

No. There is no fee to the data owner. Compensation comes from the licence with the AI company.

Do we lose control of the documents?

No. The licence sets the permitted use, the term and what happens to the data at the end. You approve the scope before anything is shared.

Can AI companies buy legal datasets through DataNexx?

There is no ready-made catalogue. We arrange licences between legal teams and AI companies. A buyer describes what it needs through a dataset request, and we look for records that fit.

Trust & compliance

Data licensing without losing control.

Your data stays yours until you decide otherwise. We assess before anything is shared, and we treat rights and privacy as conditions of a transaction — not afterthoughts.