AI for In-House Legal & Counsel
The legal half of the room. Counsel are asked both to approve the AI the business is buying and to use it themselves — this session covers the contract and the practice.
In-house legal now sits on both sides of AI: counsel are asked to approve the AI tools the business is buying, and to use AI in their own drafting and research. Both carry risk, and they are usually handled without a policy. This session covers the contract and the practice — what to demand from an AI vendor, and how your own team can use AI without putting privilege or accuracy at stake.
General counsel, in-house legal teams, legal operations and paralegals.
Set your firm’s rules for AI use, contract for AI properly with vendors, and use AI in legal work without risking privilege or accuracy.
AI clauses are appearing in commercial contracts faster than most legal teams have settled a position on them, and vendors increasingly embed AI into products bought without legal review. At the same time, AI has produced fabricated citations that have embarrassed legal teams in open court. Counsel who set clear rules now shape how the business adopts AI, rather than being asked to bless it after the fact.
- Identify the AI inside what your business is buying, including AI embedded in products bought without legal review
- Negotiate the contract terms that actually allocate AI risk — data use, training rights, output ownership, liability and indemnities
- Run a due-diligence line of questioning that gets a real answer out of an AI vendor
- Set workable rules for confidentiality and privilege when AI touches client or matter data
- Use AI for research and drafting while reliably catching fabricated citations
- Write and land an AI usage policy the firm will actually follow
A starting agenda — every session is shaped around your team, your tools and the risks you’re managing.
- The AI your business is buying — and what the contract should say How to spot the AI in what your business is buying, and the contract terms that actually allocate the risk — data use, training rights, output ownership, liability and indemnities.
- Vendor AI due diligence: the questions that get real answers A due-diligence line of questioning for AI vendors that gets past marketing, covering data handling, retention, sub-processors and what the supplier will commit to in writing.
- Confidentiality and privilege: clear rules for AI in legal work Clear, workable rules for confidentiality and privilege — which tools may touch client or matter data, and where an AI tool can put privilege at risk.
- Research and drafting without the made-up citations Using AI for research and drafting while catching the fabricated citations and confident-but-wrong output it produces.
- Owning the firm’s AI usage policy — and making it stick Writing an AI usage policy the firm will follow, and the practical steps that make it stick rather than sit unread.
- A policy, due-diligence questionnaire and clause set you leave with You leave with a usage policy, a vendor AI due-diligence questionnaire and a starter clause set to adapt.
Every team’s needs are different. We’re happy to talk it through and tailor the session to yours — let’s talk →
Bring "AI for In-House Legal & Counsel" to your team.
A short conversation about your team, your risk, and the session that would move them. No pitch deck — just the right scope and dates.
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