Edtek Knowledge Base
Practical guides on AI for legal teams, publishers, and professional services firms.
Citation-Grounded LLMs: Why Every AI Output Needs Sources
Citation-grounded LLMs attach a verifiable source to every claim. How they work, why they outperform plain RAG, and where they matter most.
Chunking Strategies for Legal & Reference RAG Systems
Fixed, semantic, recursive, parent-document and late chunking — applied to contracts, statutes and reference works with page-level citations.
On-Premise RAG: Deployment Guide for Regulated Sectors
Architecture, compliance and TCO for on-prem RAG in legal, financial and government settings. Air-gapped, HIPAA and GDPR patterns.
AI Essay Grading for Universities: Tools & Methods
How universities use AI to grade essays in 2026 — tools, automated feedback, IRAC scoring, and what works for faculty. With law school examples.
RAG vs Fine-Tuning: Which One for Enterprise AI?
When to choose retrieval, when to choose fine-tuning, and when to combine both. A decision framework for regulated enterprises.
AI Proposal Generator for Services Firms
How professional services firms use AI to generate proposals in 2026 — for consulting, accounting, legal, and advisory firms. What works and how to choose.
Hallucination-Proof RAG Architecture: A 2026 Guide
How to build RAG systems that cite every claim and refuse to hallucinate. Architecture patterns, retrieval, citation, evaluation.
AI Training Assessment Tools for Corporate L&D
How companies use AI to assess training outcomes, automate evaluations, and scale corporate learning. For L&D leaders and training managers.
Accounting Document Automation: 2026 Guide for CPA Firms
Accounting document automation in 2026 — engagement letters, audit memos, tax docs, working papers. Tool selection and workflow patterns for CPA firms.
AI in Publishing Workflows 2026: Tools & Reader Engagement
How publishers integrate AI in 2026 — editorial workflows, reader engagement, production, and rights. Tools surveyed with the AAAi Chat Book case study.
AI Editorial Review Tools: A Practical Guide
AI editorial review tools for publishers and editors — copy editing, fact-checking, consistency, source verification. Where AI helps and where editors win.
Convert a Book to an AI Chatbot: A Guide
A practical guide to turning a book into an AI chatbot. How Chat Books work, what content fits, costs, and what to expect.
AI Tools for Publishers: 2026 Guide
A practical look at AI tools for publishers — editorial, production, rights, and AI-powered reader experiences like Chat Books.
Document Automation for Small Law Firms in 2026
Document automation for small law firms in 2026 — drafting software, costs, and deployment without legal ops. For solo practitioners and 2–20 lawyer firms.
AI for Legal Document Drafting in 2026
A practical guide to using AI for legal document drafting — what works, what fails, how validation happens, and how to evaluate tools.
How to Automate Contract Review with AI
A practical, honest guide to automating contract review with AI. Steps, pitfalls, realistic timelines, and what to measure.
Harvey AI Alternatives in 2026: Pricing & Fit Compared
Compare Harvey AI alternatives in 2026 — Spellbook, CoCounsel, Lexis+ AI, Edtek, Paxton. Pricing, fit, and how to choose for solo to mid-market firms.
AI Chatbot for Law Firms: A Practical Guide
How law firms are using AI chatbots in 2026 — client intake, internal knowledge, costs, and implementation without new risks.
Legal AI Chatbot: How to Build One That Works
A practical guide to legal AI chatbots — from client intake bots to internal knowledge assistants. What works, what fails, and how to choose.
AI Contract Review Tool: How It Works in 2026
A practical guide to AI contract review tools — what they do well, where they fail, and how to evaluate them in 2026.
Legal Document Automation Software: 2026 Guide
How legal document automation software works, what to look for, and how to deploy it in law firms and in-house teams. A practical 2026 guide.