Built for consultants, investors, lawyers, and strategists who need frontier AI without compromising client confidentiality or deliverable quality.
The AI workplace today
Seven categories of AI solutions exist. None of them structures usage for intellectual professionals. That's the gap Clerval fills.
Six things Clerval does
Your analysts paste client names into ChatGPT. You know it. Clerval anonymizes documents locally before anything reaches a model. Then your team uses whatever's best — Claude, GPT, Gemini. The data stays yours.
AI output sounds like AI. Your clients can tell. Clerval learns your writing style from samples and applies it to every prompt. The draft reads like you wrote it.
Nobody writes great prompts from a blank chat. Clerval shows the deliverable, asks the right questions, builds the prompt behind the scenes.
Right now you have no idea if the AI output was any good. Clerval scores every deliverable against criteria your firm defines. Quality becomes a number you track.
200 AI sessions a month and nothing learned. In Clerval, each run builds on the last. The analyst who scored 71, then 78, then 86 — she's not just faster. She's better.
Your Head of AI tells the board "we deployed 50 Copilot licenses." The board hears: cost without proof. Clerval gives you numbers a CEO understands.
In practice
She opens Clerval, picks "Investment memo," answers six questions. The prompt is built with her firm's format, the reference example, and her voice profile. Client name never leaves the building. Score: 86.
He configured Firm rules once: formal tone, no client names in external tools, Claude only. Every deliverable now passes through the same standards. The dashboard shows quality trending up.
She runs them through the Anonymizer before analysis. All names and deal values are replaced locally. The anonymized content goes to Claude. Clerval restores originals when done. Hours, not days.
She opens the dashboard. 85% of deliverables standardized. Quality: 83, up 7 pts. Zero data leaks. She exports the slide. The CEO doesn't need to understand AI. He understands numbers.
Beyond individual use
Every deliverable has a discussion thread. The person who scored 94 shares what she did. The new hire asks questions. The managing partner sees which actions the team wants next.
After finishing a memo, your senior analyst leaves a note. Next time someone runs that action, the tip is right there. No Slack to dig up.
Anyone suggests a deliverable to standardize. The team upvotes. Most votes gets built first. No steering committee.
Which model works best? How should a new analyst start? These conversations live in Clerval, not in someone's head.
We're onboarding consulting, investment, legal, and strategy teams of 10-50 people. If your deliverables carry your name, we should talk.