Legal AI Governance
This AI solution focuses on establishing governance, risk management, and implementation frameworks for the use of generative models across the legal sector—law firms, courts, and in‑house legal teams. Rather than building point solutions (e.g., contract review), the emphasis is on defining policies, controls, workflows, and contractual structures that make the use of generative systems safe, compliant, and reliable in high‑stakes legal contexts. It matters because legal work is deeply intertwined with confidentiality, professional ethics, due process, and public trust. Uncontrolled deployment of generative systems can lead to malpractice exposure, biased or inaccurate judicial outcomes, regulatory breaches, and reputational damage. Legal AI governance provides structured guidance on where generative tools can be used, how to mitigate risk (accuracy, bias, privacy, IP), and how to design contracts and operating models so generative systems become dependable assistants rather than unmanaged experiments.
The Problem
“Governed GenAI for legal: policies, controls, audits, and safe deployment patterns”
Organizations face these key challenges:
Partners/counsel block GenAI use because risk is unclear and controls are inconsistent
No reliable way to prove where AI outputs came from (sources, prompts, models, versions)
Vendor tools get adopted ad hoc, creating confidentiality and data residency exposure