Learning Center

Guides and resources to help your team get the most out of ndMAX.

Your Taxonomy is Your AI Strategy

Your Taxonomy is Your AI Strategy

How law firms that invest in structured data today will outpace the firms that don't.

By Heath Harris

The Second Risk in Legal AI

The Second Risk in Legal AI

The risk isn't just what AI generates. It's where your documents go when AI uses them.

By Chris Fernelius

Machine Learning: Today's Bargain, Tomorrow's Bottleneck

Machine Learning: Today's Bargain, Tomorrow's Bottleneck

As the cost of LLMs continue to fall, it's time to rethink your strategy.

By Jill Schornack

How Legal Teams Can Adopt AI Effortlessly

How Legal Teams Can Adopt AI Effortlessly

How AI-driven legal tools are transforming adoption challenges into effortless productivity.

By Jill Schornack

Automate Knowledge Management with Autoprofiling

Automate Knowledge Management with Autoprofiling

Automatically enrich documents with tailored metadata — without burdening lawyers with data entry.

By Steve O'Neal

A Blueprint for Change, Part 1

A Blueprint for Change, Part 1

Applying business school models for organizational design and change to law firms and legal departments.

By Heath Harris

A Blueprint for Change, Part 2

A Blueprint for Change, Part 2

Applying business school models for organizational design and change to law firms and legal departments.

By Heath Harris

Optimizing Your Data Foundation for AI-Powered Content Extraction

Optimizing Your Data Foundation for AI-Powered Content Extraction

A 10-step guide to prepare your document management system for a successful AI project.

By NetDocuments

Structuring LLM Outputs

Structuring LLM Outputs

Craft prompts to control LLM output formats for seamless use in databases, spreadsheets, or downstream applications.

By Scott Kelly

System Message vs. User Message

System Message vs. User Message

Understand the difference between a system message and user message and when to use each.

By Scott Kelly

Few-Shot Learning

Few-Shot Learning

Few-shot learning helps LLMs deliver better outputs with just a few examples — no fine-tuning necessary.

By Scott Kelly

Use Separators to Divide Your Prompt

Use Separators to Divide Your Prompt

Use headers, special characters, or XML tags as separators to improve prompt clarity and guide LLMs to more accurate results.

By Scott Kelly

Elements of Prompt Engineering: Model Temperature

Elements of Prompt Engineering: Model Temperature

Learn how to configure an LLM's temperature setting to optimize for consistency or creativity.

By Scott Kelly

Maximum Length

Maximum Length

Learn how to control the maximum length of prompt outputs and structure your prompts to prevent context window failures.

By Scott Kelly

Choice of Model

Choice of Model

Choosing the right large language model depends on balancing cost, capability, and speed for your specific needs.

By Scott Kelly

Prompt Design

Prompt Design

Effective prompt design is key to guiding LLMs to generate accurate, structured responses.

By Scott Kelly