Privacy Counsel
Maintain the company's data inventory and processing records
What You Do Today
Interview business teams to understand what personal data they collect, where it flows, how it's stored, who accesses it, and what retention periods apply. Update the Article 30 records of processing.
AI That Applies
Data discovery AI scans systems and data flows to automatically identify personal data processing activities, generating and maintaining processing records with minimal manual input.
Technologies
How It Works
The system ingests systems and data flows to automatically identify personal data processing activi as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Data inventories become living documents updated automatically rather than annual snapshots. AI catches processing activities that business teams forgot to report.
What Stays
You still determine the legal basis for each processing activity, make purpose limitation assessments, and advise on whether discovered processing activities comply with privacy notices.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for maintain the company's data inventory and processing records, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long maintain the company's data inventory and processing records takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your general counsel or managing partner
“Which steps in this process are fully rule-based with no judgment required?”
They set the firm's AI adoption posture
your legal technology manager
“What's the error rate on the manual version, and what would "good enough" look like from an automated version?”
They manage the tools and can show you capabilities you don't know exist
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.