Learning Center: Apply Generative AI to Law

Lawyer Tokenomics

The Second Risk In Legal AI

Your Taxonomy is Your AI Strategy

Optimizing Your Data Foundation for AI-Powered Content Extraction

A 10-Step Guide to Prepare for a Successful Project

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

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

Automate Knowledge Management with Autoprofiling

Automatically enrich documents with tailored metadata

A Blueprint for Change - Part 2

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

A Blueprint for Change - Part 1

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

Skip the Training, Reap the Rewards: How Legal Teams Can Adopt AI Effortlessly

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

Few-shot learning | Best practices for legal prompt engineering

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

Use separators to divide prompts | Best practices for legal prompt engineering

Use headers, special characters, XML tags, or system messages as separators to improve prompt clarity and guide LLMs to deliver more accurate, structured responses.

Structuring LLM outputs | Best practices for legal prompt engineering

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