1. Same Forensic Capabilities, Wider Reach
DocuClipper supports:
Not limited to legal matters - use the same engine for lending, corporate, insurance, and CPA-side investigations.
2. Higher, Published Accuracy
DocuClipper states 99.9% field-level accuracy on digital PDFs and runs a reconciliation check on every bank statement, tying extracted rows back to the statement's opening and closing balances. You know which files extracted cleanly before you rely on them in a report.
3. Self-Serve and Flexible
- No demos or onboarding required
- Upload and analyze immediately
- Iterate on cases in real time at your own pace
4. Page-Based Pricing
CounselPro's plans are Core at $100/mo (no AI forensic report), Plus at $250/mo, Premier at $500/mo, or $499 for a single case (counselpro.ai/pricing, checked 2026-10-15). DocuClipper's forensic analysis is on the Business plan, from $159/mo for 640 pages, so cost tracks how many pages you process - not how many matters you open.
5. Concrete Forensic-Grade Data Controls
Beyond "same capabilities," these are the specific, verifiable behaviors forensic teams rely on:
- Check-to-statement-line matching. When check images and the bank statement are processed together, DocuClipper matches each check to its "Check #N" ledger row primarily by check number and amount, then writes the payee and memo onto that row - even when the handwritten written date differs from the bank's clearing date by weeks.
- Check-image pages don't double-count. Scanned images of cleared checks are automatically detected and excluded from the ledger, so they never create duplicate or overstated rows - no manual PDF splitting.
- Missing-period gap detection with CSV. The Coverage tab shows, per account, which periods have statements, each statement's reconciliation status, and which periods are missing. The Coverage CSV export names the gaps (e.g. "Feb 2026" or "Apr 2026 - Jun 2026").
- Duplicate detection at two levels. Identical files are flagged at upload; overlapping periods, reissued statements, and the same account supplied as both PDF and CSV are detected across the project.
- Page-level provenance. Every exported transaction row links back to its source PDF page, so workpapers and exhibits stay traceable.
- Undisclosed-account signal. Outflows with no matching inbound counterpart in the dataset are flagged as possible transfers to accounts you don't yet have.