Videos
Generative AI Automation: Automating Legal Queries and Processes
Kognitos turns a CIO's contract question into an auditable, line-by-line English automation — and returns financial risk with clause-level citations.
What's in this video
A common CIO question: how do I use the pattern-recognition power of LLMs on my internal documents safely? This demo answers it with a legal use case — calculating the financial risk of terminating a vendor contract — built on Kognitos AI Concierge.
How safe generative automation works in Kognitos
- Plain-English request: A user types “find the financial risk of termination of my contract.”
- Line-by-line English program: Kognitos Concierge proposes the automation as an editable sequence of English statements — not as a black-box answer. The user can change any line before the process runs.
- Deterministic execution: Pattern recognition (the LLM) is wrapped inside a deterministic runtime, which is what makes the result auditable and repeatable.
- Contract analysis: Kognitos scans the unstructured contract, identifies clauses relevant to termination, and calculates how much money the vendor would lose if the customer terminated early.
- Clause-level citations: The output includes citations pointing back to the specific clauses, so a legal reviewer can trust and verify the answer.
- Structured JSON: Kognitos returns the analysis as JSON, ready to be fed into a follow-on step — e.g. emailing the General Counsel or routing to a contract management system.
Why this matters for the enterprise
Chat-style LLMs are black boxes: you cannot inspect or edit the reasoning, which makes them risky for legal, finance, or compliance work. Kognitos combines the same LLM pattern recognition with a deterministic, human-editable English program — keeping a human in control while still letting the AI do the heavy lifting on long, unstructured documents.
Questions answered in this video
What legal question does the demo answer?
The demo calculates the financial risk of early termination for a specific vendor contract — how much revenue the vendor would lose if the customer ended the agreement early.
How is this different from asking ChatGPT the same question?
ChatGPT returns a black-box answer the user cannot inspect or edit. Kognitos generates the automation line by line in English, lets the user change any step before it runs, and wraps the LLM in a deterministic runtime — keeping a human in control of the logic and the data used.
Does Kognitos cite the clauses it relied on?
Yes. The output includes clause-level citations and an analysis the user can verify against the contract, so legal teams can trust and audit the answer.
What output format does Kognitos return for downstream use?
The result is delivered as structured JSON, which the same Kognitos process can immediately use in the next step — for example, emailing the analysis to a stakeholder or pushing it into a contract management system.