Practical AI Implementation for In-House Legal Teams
TuckHaus Operations helps in-house legal teams move from AI experimentation to useful, repeatable AI workflows inside their existing processes and tools.
AI configured around the work your team already does.
- Legal AI StrategyWhich work AI should handle first, and which it shouldn't
- Workflow IdentificationRepeated tasks scored for fit and risk
- AI-Assisted ContractingDrafting and first-pass review inside the contract flow
- Playbook-Based ReviewContract review and redlining to your team's positions
- Knowledge WorkflowsAnswers drawn from your own policies and precedents
- Prompt & Workflow DesignPrompts written, tested and versioned like templates
- Claude for Legal TeamsClaude Projects, skills and scheduled tasks set up
- ChatGPT for Legal TeamsWorkspaces and instructions set up for legal use
- Gemini for Legal TeamsConfigured for the documents and tasks legal handles
- AI Tool Selection & POCsShortlists and proofs of concept on your own contracts
- Enablement & TrainingLive sessions and runbooks per audience
- Repeatable WorkflowsOne-off prompts turned into steps anyone can run
- AdoptionUsage follow-through after the training ends
- Governance & RolloutUse policies, review steps and a staged launch
- CLM & Process IntegrationAI placed inside existing legal processes and CLM
Picking the Right Workflows First
Most legal AI pilots stall because they start with a tool instead of a task. We start with the work: which requests repeat, which reviews follow a pattern, and where your team spends time it would rather not.
Each candidate workflow gets scored on volume, risk and how clearly the right answer can be defined. The first ones we build are the ones where AI output can be checked quickly and used the same day.
AI work sits inside broader process design. See our legal operations consulting work.
Playbooks and Prompts Built on Your Positions
Generic AI review flags generic issues. Useful review checks a contract against your team's actual positions: preferred language, fallbacks, and what needs escalation.
We write those positions down as a playbook, then build prompts and workflows around them in the tools you use, whether that is Claude for Legal, Gemini, GC AI, Ivo, Legora or AI features in Evisort. Each one is tested against your own contracts before anyone relies on it.
For AI inside your contract platform, see our CLM consulting and implementation work.
Rollout, Training and Governance
A workflow only helps if people use it. We train each audience on the specific workflows they will run, with written runbooks they can return to.
Governance is part of the rollout, not a separate project: what AI can be used for, what must be reviewed by a lawyer, and how prompts and playbooks get updated when your positions change.
How Engagements Work
Every engagement runs on the same five-phase model — Learn, Build, UAT, Launch, Improve — so you know what happens when and what you get at each step. See the methodology.
Legal AI work usually maps to one of these offers. If you are not sure which fits, an audit sorts it out first.
Questions
Which AI tools do you work with?
We evaluate and configure tools in-house legal teams use, including Claude for Legal, Gemini, GC AI, Ivo, Legora and Evisort. We are independent and not affiliated with any AI vendor.
We already bought an AI tool. Can you help us use it?
Yes. We identify the workflows it fits, build playbooks and prompts around your positions, and train your team to run them.
Can AI review contracts against our playbook?
Yes, once the playbook is written down. We document your positions and fallbacks, then build and test review workflows against your own contracts.
How do you handle governance?
As part of rollout. We define what AI is used for, what requires lawyer review, and how prompts and playbooks are maintained.
TuckHaus Operations is an independent legal operations consultancy and is not affiliated with any AI vendor named on this page. Product names are the trademarks of their respective owners.