What kind of firm or department is this built for?

Law firms of any size and in-house legal departments, plus professional-services teams whose work runs on legal documents. Partners, associates, in-house counsel, paralegals, and legal-ops staff work through the same syllabus, grouped by role when it helps the examples land.

Does anyone need to know how to code first?

Nobody needs to code or read a dataset, only to know your own matters and documents well enough to judge whether an AI-assisted draft is genuinely usable.

Two days of what, and delivered how?

Onsite or live online, either way across a two-day program that adds up to about 13 hours of instruction. Most firms split it into half-day blocks so hearings and filings fit beside client meetings.

Can the syllabus flex around our practice areas?

It has to, or the exercises won't mean much to your practice. We look at your litigation, transactional, or advisory mix beforehand, collect anonymized sample documents, and adjust the cases and prompts to match. Exercises still run on ChatGPT, Microsoft Copilot, and Gemini, or on whatever enterprise tools your firm has already approved.

Is AI actually reliable for legal research?

Only with a verification habit attached to it. A general chatbot can produce a citation that looks genuine and does not exist, and courts in more than one jurisdiction have sanctioned lawyers who filed exactly that. The training treats citation-checking as a core skill: AI can help map issues and summarize sources, but every authority still gets verified against a primary source before it enters work product. None of this is legal advice, and none of it replaces a lawyer's judgment.

Does client or case data ever touch the training itself?

No. The matters worked in the room are invented, and where one is modelled on a reported case it is fully anonymized first. A full module covers professional secrecy and privilege while treating the GDPR and KVKK obligations as the two separate regimes they are. Protecting client confidentiality while using these tools is one of the outcomes this program is built to produce.

How do you land on a price for this?

Four things move the number: group size, delivery format, customization depth, and location. We price once we know your practice and what you're trying to fix, and every quote is built that way.

What survives after the two days end?

You keep the prompt library, drafting templates, a citation-verification checklist, and the 90-day adoption plan the sessions produce. We stay reachable for follow-up questions, and an optional refresher session can be scheduled once your usage matures.

AI Training · Legal

AI Training for Lawyers and Legal Teams

Contracts, case files, correspondence, and research memos: a legal team's day runs on text, and that's exactly where generative AI can save the most hours.

This training turns that into confidential, verified daily practice for lawyers and legal teams, not a one-off demo. A lawyer reviews every workflow before anything goes out.

modules: 6
hours: 13

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A fabricated case citation can end a career. Courts in more than one jurisdiction have already sanctioned lawyers for filing briefs built on cases an AI invented: confident, plausible, and never real. That risk sits right next to an obvious opportunity. Contracts, pleadings, engagement letters, demand letters, research memos, billing narratives: almost everything a firm or legal department produces is a document, and a language model drafts and summarizes documents well.

Client confidentiality raises the stakes — a privileged fact pasted into a consumer chatbot has left the building in a way no engagement letter permits, even though the tools already sit inside Word, Outlook, and the browser. Lawyers, in-house counsel, paralegals, and operations staff learn to draft and summarize with ChatGPT, Copilot, and Gemini, keep client identities and privileged facts out of every prompt, and treat citation verification as a taught skill checked at the source every time. AI output is never legal advice and never a substitute for a lawyer's judgment — a lawyer reviews everything before it leaves the firm. The syllabus adapts to your practice areas, and other sectors have their own programs in the AI training catalog.

The first draft is where the billable hours disappear

AI drafting gets engagement letters, demand letters, and routine correspondence to a reviewable first draft in minutes — trained teams commonly report getting there 3× faster.

Who has time to read a thousand-page file by Friday?

Contracts and case files are where legal time actually disappears — AI pulls clauses, obligations, and deadlines into a working summary, so review time goes to judgment instead of finding the page.

A citation that looks real and isn't

Courts in multiple jurisdictions have sanctioned lawyers for filing briefs that cited cases AI invented — the risk goes away only when every citation is checked at the source, a skill we teach directly.

Staff already paste client facts into ChatGPT

A privileged fact pasted into a consumer chatbot has left the building with no undo — training replaces that unguided habit with a sanctioned, auditable workflow.

Nothing new to install

Word, Outlook, and the browser already have the tools built in, sitting mostly unused — the difference is whether people know which task to hand off and which judgment to keep.

01
Generative AI foundations for legal teams
120 minBeginner
What large language models do well and where they fail in legal work. The cost of a mistake is higher here than in most fields. Lawyers and support staff leave this module with the same mental model and the same vocabulary, before anyone touches a client matter.
What a language model is doing under the hood
Why models invent facts, and what that looks like in legal text
Where AI already sits in practice management as well as Word and Outlook
Tasks to delegate, judgments that stay with the lawyer
One safe place to start
02
Prompt craft with confidentiality discipline
120 minBeginner
A repeatable prompt structure for legal documents: role, context, task, format, and checks, practiced on the document types your practice produces every day. Client identities and privileged facts stay out of every prompt, by habit.
A reusable prompt structure for legal documents
Context without client names or privileged facts
Sending the second draft
Shifting register between a client email and formal correspondence
Starting a shared prompt library for your practice
03
Reviewing and summarizing documents before drafting
180 minIntermediate
Contract review, case file summaries, and first drafts of letters and routine filings, rebuilt as AI-assisted workflows a lawyer still signs off on. Nothing here skips the review step. Every flow ends with an attorney's read before anything leaves the firm.
Pulling obligations and deadlines from contract clauses
Summarizing a case file into a working memo
First drafts of letters and routine filings
Comparing document versions, spotting what changed
Billing narratives from notes and time entries
One sign-off before anything leaves the firm
04
Research assistance and verification workflows
150 minIntermediate
Where AI genuinely helps legal research, and the verification habit that keeps a fabricated authority out of your work product. Citation-checking is a taught skill here, checked against primary sources every time.
Strengths and blind spots of AI research help
Why hallucinated citations happen, and how they slip through
Verified at the source
Using AI to map issues, not supply citations
Summarizing legislation and case law with links to the text
When a general chatbot is the wrong tool
05
Confidentiality and privilege under compliance rules
120 minIntermediate
Professional secrecy, privilege, and data protection translated into daily choices: what may go into an AI tool, what never does, and how to write a policy people follow.
Professional secrecy and privilege once a prompt leaves the building
GDPR obligations for client and case data
KVKK, a separate regime
Where a consumer AI tool's data goes, versus an enterprise one
Anonymizing facts before they reach a prompt
Writing a usage policy your firm will keep
06
Adoption plan for firms and legal departments
90 minAdvanced
From individually trained people to a practice that uses AI well, together. Pilots and champions need measurement habits that keep usage safe once the trainers are gone.
Picking a pilot with hours to show for it
Champions among staff plus associates and partners
Beyond a login count
Handling ethics questions and resistance when clients push back
A 90-day plan, written down before you leave

What you will learn

Draft routine letters with AI, then have a lawyer sign off before anything leaves the firm
Turn a long case file into a summary you can trust
Verify every authority against a primary source, every time
Keep client names and privileged facts out of every prompt
Write once, reuse tomorrow
A precedent-fed prompt library
A path from pilot to firm-wide use, with numbers attached

Who should attend

Managing partners setting the firm's AI policy
Associates and staff attorneys drafting daily
In-house counsel running a lean legal department
Paralegals who do the heaviest document work
Legal ops and knowledge management
Compliance officers and contract managers

This runs two days, usually split into half-day sessions scheduled around hearings and filing deadlines. Onsite and live online cover the same syllabus either way.

Format: Onsite or live online
Duration: 2 days (about 13 hours, can be split into half-day sessions)
Group size: Up to 20 participants per group
Language: English or Turkish
Materials: Prompt library, drafting templates, and a citation-verification checklist
Certificate: Certificate of completion

AI for Professional Services6 modules · 13 hoursPractical AI training for consulting, advisory, engineering, accountancy, and business-service teams: sharper research, proposals, deliverables, and client communication, with expert review built in.View training

AI in Accounting & Audit6 modules · 13 hoursAI training for accounting firms, audit teams, and in-house finance departments, built around working papers and reconciliations: faster drafts, every number checked against the ledger, and the reviewing professional still the one who signs.View training

Preparing Teams for the EU AI Act6 modules · 12 hoursEU AI Act readiness training for compliance, legal, risk, HR, IT, procurement, and business teams: map AI use, build literacy, ask sharper vendor questions, and leave with an accountable action plan.View training

AI in the Public Sector6 modules · 13 hoursFor public-sector teams: turning policy notes, correspondence, and citizen guidance into faster drafts, with named reviewers and firm limits around what AI may never decide.View training

Say whether you're a firm, an in-house department, or a professional-services team, and name the practice areas in play. From there we match the cases and prompts to the pace of what your people handle every day.

Two colleagues updating a workflow board and checking a process change

What kind of firm or department is this built for?
Law firms of any size and in-house legal departments, plus professional-services teams whose work runs on legal documents. Partners, associates, in-house counsel, paralegals, and legal-ops staff work through the same syllabus, grouped by role when it helps the examples land.
Does anyone need to know how to code first?
Nobody needs to code or read a dataset, only to know your own matters and documents well enough to judge whether an AI-assisted draft is genuinely usable.
Two days of what, and delivered how?
Onsite or live online, either way across a two-day program that adds up to about 13 hours of instruction. Most firms split it into half-day blocks so hearings and filings fit beside client meetings.
Can the syllabus flex around our practice areas?
It has to, or the exercises won't mean much to your practice. We look at your litigation, transactional, or advisory mix beforehand, collect anonymized sample documents, and adjust the cases and prompts to match. Exercises still run on ChatGPT, Microsoft Copilot, and Gemini, or on whatever enterprise tools your firm has already approved.
Is AI actually reliable for legal research?
Only with a verification habit attached to it. A general chatbot can produce a citation that looks genuine and does not exist, and courts in more than one jurisdiction have sanctioned lawyers who filed exactly that. The training treats citation-checking as a core skill: AI can help map issues and summarize sources, but every authority still gets verified against a primary source before it enters work product. None of this is legal advice, and none of it replaces a lawyer's judgment.
Does client or case data ever touch the training itself?
No. The matters worked in the room are invented, and where one is modelled on a reported case it is fully anonymized first. A full module covers professional secrecy and privilege while treating the GDPR and KVKK obligations as the two separate regimes they are. Protecting client confidentiality while using these tools is one of the outcomes this program is built to produce.
How do you land on a price for this?
Four things move the number: group size, delivery format, customization depth, and location. We price once we know your practice and what you're trying to fix, and every quote is built that way.
What survives after the two days end?
You keep the prompt library, drafting templates, a citation-verification checklist, and the 90-day adoption plan the sessions produce. We stay reachable for follow-up questions, and an optional refresher session can be scheduled once your usage matures.

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AI Training for Lawyers and Legal Teams

Why AI in this industry

The first draft is where the billable hours disappear