AI tools built for how law firms work.
In today's fast-paced legal world, Edtek leads the way in using advanced AI to change how law firms work — creating documents faster, improving accuracy, and keeping client information secure on the firm's own infrastructure.
Why generic AI falls short for legal
Hallucination is a liability
Generic AI fabricates plausible-sounding citations and clauses. In legal work, a single fabricated authority can damage credibility, lose a motion, or trigger a malpractice claim.
Drafting eats attorney time
Document assembly is 80% consistent across matters. Attorneys spend hours on work that templates and firm precedents already solve — if the right system connects them.
Client content cannot leave the building
Cloud-only AI tools are a non-starter for confidential client work. Firms need on-premise or private-cloud deployment, with the customized LLM and historical documents stored in-house.
What Edtek can do for law firms
Identify the document categories where a customized LLM can produce a first draft — built from the firm's own curated precedents, stored in-house for confidentiality.
Semi-standard M&A documents
Stock purchase agreements, asset purchase agreements, and related transactional packages — drafted from the firm's own precedents.
Real-estate documents
Commercial mortgages, real-estate acquisition agreements, lease packages — all built from the firm's historical document base.
Employment-law documents
Executive employment agreements, restrictive-covenant clauses, employee handbooks — customized per jurisdiction and role.
Three products for legal practice
Chat, Draft, and Cite cover the full legal workflow — research, drafting, and verification — all grounded in your firm's content.
Edtek Chat
Knowledge Assistants
Deploy chatbots over firm precedents, case files, and internal knowledge. Attorneys and clients query documents in plain English and get cited answers.
Edtek Draft
Document Builder
Generate transactional documents from the firm's templates and precedent library. Every clause validated against legislation and firm policy. Plain-English iterative refinement.
Edtek Cite
Authority Surfacing
Read briefs and contracts, identify every claim, and surface the applicable rules, cases, and regulations — inline, with context and summaries.
How we're different
Here are a few of the ways we're different from other software companies offering LLM-based solutions to law firms.
Solving the "hallucination" problem with RAG
We use graph and Retrieval-Augmented Generation ("RAG") to guarantee that only materials derived from the firm's own pre-specified historical documents are relied on when drafting new documents.
Example: to draft a stock purchase agreement, the system accesses a curated set of the firm's past stock-purchase agreements. The new draft is built solely from those — no opportunity for the LLM to "make up" a source.
Accurate citation of historical documents
Every draft cites the specific firm document each provision was drawn from — passage, page number, and identifying metadata. Generic public LLMs, trained on web-scale corpora, cannot do this.
Customized drafting with unlimited improvements
Each special-purpose app produces a first draft from precise, document-type-specific questions. After the first draft, the drafter can request as many rounds of plain-English improvements as needed.
Example: after a first-draft executive employment agreement, the drafter can say: "expand the non-compete so it applies to the employer's affiliates, not just the employer."
Comprehensive documentation, training, and support
For each special-purpose app we build, the firm receives extensive feature documentation plus user training and ongoing support tailored to that app.
What law firms are building
"Draft an executive employment agreement for a California-based senior engineer with a 12-month non-compete." Edtek Draft produces a first draft from firm precedents and flags CA §16600 restrictions.
Edtek DraftAfter a first draft, the drafter asks: "expand the non-compete to cover the employer's affiliates" — the system rewrites the clause from firm precedent.
Edtek Draft"What are the grounds for vacating an arbitration award?" — Edtek Chat answers from AAA materials with specific page citations.
Edtek Chat"Does this brief's statute of limitations claim align with current case law?" — Edtek Cite highlights the relevant authorities inline.
Edtek Cite"Making it easier for parties and advocates to present a claim is core to our mission."
Why Edtek
A platform built for the confidentiality, accuracy, and customization legal practice actually needs.
Beyond generic LLMs
We use Refine and Self-Validation approaches — not just prompts to ChatGPT or a stock LLM. The architecture is built to answer accurately from your content.
RAG and graph-based retrieval
An ensemble of semantic retrieval, multi-criteria reranking, and graph-based validation significantly reduces hallucinations and grounds every answer in your sources.
Easily customized to your subject
The framework adapts to any subject, document type, or rubric. Configure assessments, knowledge bases, and document templates in plain English — no programming required.
Experienced team, 10+ years together
Our team has worked together for over a decade, with deep expertise in AI, machine learning, educational technology, and legal publishing.
Frequently asked questions
Is Edtek safe for confidential client data?
Yes. Edtek supports on-premise deployment where your content never leaves your infrastructure. The customized LLM software and the firm's historical documents can be stored entirely in-house — guaranteeing client confidentiality.
How does Edtek prevent hallucinations in legal work?
A multi-layer verification architecture: graph + Retrieval-Augmented Generation (RAG) ensures every draft is grounded in the firm's own historical documents. The LLM is used for query parsing, never for generating content from outside the firm's curated corpus.
Do we need to know how to code or write prompts?
No. Drafters describe the document needed in plain English — including all the detailed provisions. Zero programming required. After a first draft, additional rounds of refinement also use plain-English instructions.
What types of transactional documents work best?
Semi-standard M&A documents (stock and asset purchase agreements), real-estate documents (commercial mortgages, acquisition agreements), employment-law documents (executive employment, restrictive covenants, handbooks) — and more. Any document type where the firm has a body of historical work to draw from.
Will the system improve over time?
Yes. The platform learns from new historical documents and drafter feedback, evolving with the firm's practice. Each customized app receives ongoing updates and refinement.
See Edtek with your firm's content.
Book a 30-minute walk-through with our team. We'll show Chat, Draft, and Cite working with your precedents and matters — deployable on your own infrastructure.