Understanding the Library in Lexlegis – Lexlegis AI

The Library in Lexlegis.ai is the central repository for all reusable resources used across Ask, Interact, and Draft.

It acts as the single source of truth for documents, instructions, standards, and references that power legal research, document analysis, and drafting. This guide explains what the Library contains, why it matters, and how it supports workflows across the platform.

1. What Is the Library

The Library is where Lexlegis stores and organises all working material that can be reused across workflows.

It includes the following sections:

Files
Prompts
Question Set
AI Rulebook
Templates
Clauses
Websites
Tags

Anything you upload, create, or save for reuse within Lexlegis is stored in one of these Library sections.

2. Why the Library Matters

The Library directly affects the quality, accuracy, and consistency of outputs across the platform.

Lexlegis uses Library content to:

Ground answers in verifiable material
Analyse documents in Interact
Extract data, language, and structure for Draft
Apply clauses, templates, and drafting standards consistently

A well organised Library leads to clearer outputs and reduces the need for repeated revisions.

3. What Each Library Section Is Used For

3.1 Files

Files store documents such as contracts, pleadings, correspondence, evidence, and reference material.

Files are used:

As sources in Ask
As inputs for analysis in Interact
As reference documents for data extraction in Draft

Files are only used when explicitly selected.

Files may be added to the Library from any workflow, but folders are created and managed exclusively within the Library.

3.2 Prompts

Prompts are reusable instructions that define how documents should be analysed or processed.

Prompts are commonly used in:

Interact for summaries, comparisons, risk reviews, and timelines
Draft for guided drafting or refinement

Saving prompts in the Library ensures consistency across repeated workflows.

Files may be added to the Library from any workflow, but folders are created and managed exclusively within the Library.

3.3 Question Set

Question Sets are groups of related questions designed to be answered together.

They are used in Interact to:

Run structured reviews across one or more documents
Ensure consistent analysis across files
Generate comparable outputs

Question Sets are especially useful for due diligence and repeat reviews.

Question Sets may be added to the Library from any workflow, but folders are created and managed exclusively within the Library.

3.4 AI Rulebook

AI Rulebooks define drafting standards, policies, and constraints.

They are used primarily in Draft to:

Enforce internal drafting rules
Maintain tone and structure consistency
Apply organisation specific do’s and don’ts

Rulebooks help ensure compliance and uniformity across documents.

Rulebooks may be added to the Library from any workflow, but folders are created and managed exclusively within the Library.

3.5 Templates

Templates define the structure and layout of legal documents.

Templates are used in Draft to:

Standardise document formats
Reduce drafting time
Ensure required sections are consistently included

Templates can be system provided or custom created.

Templates may be added to the Library from any workflow, but folders are created and managed exclusively within the Library.

3.6 Clauses

Clauses store reusable contractual provisions and standard language.

Clauses are used in Draft to:

Insert mandatory or standard provisions
Maintain consistency across agreements
Reduce manual repetition

Clause Libraries help enforce drafting standards across teams.

Clauses may be added to the Library from any workflow, but folders are created and managed exclusively within the Library.

3.7 Websites

Websites store approved web sources organised for controlled research.

Websites are used in Ask to:

Limit research to trusted sources
Conduct jurisdiction specific or regulator specific analysis
Avoid reliance on unverified content

Only selected websites are used during a query.

Websites may be added to the Library from any workflow, but folders are created and managed exclusively within the Library.

3.8 Tags

Tags are user-defined metadata labels used to filter and organise items within the Library.

Tags help you:

Categorise documents by jurisdiction, document type, or relevance
Locate files quickly across large Libraries
Improve search accuracy and reuse

Tags are used only for filtering and classification and do not trigger analysis on their own.

4. How the Library Is Used Across Lexlegis

4.1 Ask

In Ask, Library content may be used as:

Files or folders selected as sources
Supporting material for citations
Approved websites for controlled web research

Only selected Library items influence the response.

4.2 Interact

In Interact, the Library is the primary input layer.

Files and Question Sets define the scope of analysis
Prompts determine how documents are processed
Outputs are generated strictly from selected Library content

Organisation within the Library directly impacts result quality.

4.3 Draft

In Draft, the Library provides the building blocks for document creation.

Draft uses:

Templates for structure
Files for data extraction
Clauses for standard language
AI Rulebooks for drafting standards

Only the items you choose during setup are applied.

5. Organising the Library Effectively

Clear organisation improves speed and accuracy across workflows.

Recommended practices include:

Grouping Files by function rather than case name
Keeping Templates, Clauses, and Rulebooks in separate folders
Avoiding mixing unrelated documents in the same folder
Using consistent naming conventions

Good organisation helps Lexlegis apply the correct context at the right stage.

6. What the Library Does Not Do

The Library does not automatically analyse documents
Files are not used unless selected in a workflow
Uploading content does not change existing drafts or answers

The Library remains passive until its contents are actively used.

7. When to Review or Update the Library

It is good practice to:

Update Templates and Clauses periodically
Review AI Rulebooks for relevance
Archive outdated Files
Clean up folders before large drafting or analysis exercises

Regular maintenance improves long term efficiency and output quality.