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Tabular Reviews | Forseti AI
TABULAR REVIEWS
N × M Extraction Grids With Citations Per Cell
Compare N documents across M attributes, governing law, dispute resolution, liability cap, indemnity, termination notice, IP assignment, in one grid. Each cell carries an inline citation back to the source clause.
Why Tabular Reviews Matters
A legal counsel reviewing twelve vendor agreements for governing law, indemnity caps, and termination notice cannot answer the question by reading each contract end to end. The faster move is a grid: contracts in rows, attributes in columns, the relevant clause excerpt in each cell. Done manually, the grid takes a day per attribute and the citations slip during the copy-paste. Done in a spreadsheet, the citations are gone entirely.
Tabular Reviews fix the citation problem. Forseti extracts the requested attribute from each document, places the cell content in the grid, and carries the source clause as an inline citation the reviewer can click. Cost preview before commit means the legal counsel knows the token cost before running the review across twenty contracts. Excel and CSV export run through the platform's unified export pipeline. Cross-review compare lets the team look at how the contract portfolio has shifted over multiple review cycles.
Tabular Reviews are not limited to contracts. The same grid shape works for vendor risk assessments (vendors × ISO 27001 / SOC 2 / DORA / NIS2 coverage attributes), framework comparisons (frameworks × topic attributes), and policy reviews (policies × required-clause attributes). The output is always the same: a cited grid the operator can annotate and export.
Tabular Reviews Features
Tabular Grid Authoring
Define the rows, define the columns, run the extraction
Choose the documents (rows) and the attributes (columns). Forseti extracts each cell, citing the source clause. Cost preview shows the projected token consumption before the run commits.
- Per-cell citation back to the source clause
- Cost preview before run
Cross-Review Comparison
Compare grids across review cycles
Run the same tabular review on a different document set, or on the same set at a later date, and compare the two grids. The diff view shows what has shifted (e.g. governing law moved from English to Vietnamese on three vendor contracts).
- Side-by-side grid diff
- Annotate the diff inline with discussion threads
WHAT FORSETI WILL NOT DO
The constraints are the product.
The features ride on top.
Built for Trust.
Every guardrail is intentional.
Nothing is left to chance.
Designed for Audit.
Every decision is traceable.
Every action leaves a trail.
Ship Without Source
No cell is completed without source evidence. Missing attributes are marked as not found, never invented.
Auto-File Results
No grid auto-files or auto-commits. Reviewers accept, reject, or annotate each cell.
Share Grid Data
No cross-organisation document leakage. Grid reviews remain scoped to the customer.
Consume Tokens Blindly
No token consumption without a cost preview. Projected usage is shown before execution.
Tabular Reviews | Forseti AI
Compare N documents across M attributes with Forseti AI tabular reviews. Citations per cell. Excel and CSV export. Cell-level discussion threads.
Ronni K. Gothard Christiansen - Technical Privacy Engineer & CEO
Technical Compliance Expert, 32+ Years Open Source Advocate, X-BoD Open Source Matters Inc.
Next Steps
Start a Compliance Pilot
Pilot Forseti tabular reviews against your vendor agreement portfolio, your governance document set, or your installed regulatory pack set. Measure how the review time compares with manual comparison.
Discuss Your Compliance Needs
Talk to our team about which N × M comparisons would deliver the highest value in your environment.
Frequently Asked Questions About Forseti Tabular Reviews
Any document Forseti can read: contracts, DPAs, vendor agreements, policy memos, governance documents, regulatory packs. The N rows can be a contract portfolio, a vendor list, a framework set, or a policy library. The M columns are the attributes the reviewer wants extracted.
Forseti's extraction tool reads the source document, finds the relevant clause, and attaches the clause location as an inline citation. Clicking the citation opens the source document at the cited clause. If the attribute is not present in the source, the cell carries an explicit "not found" marker rather than a fabricated answer.
Yes. Cell-level discussion threads let the team annotate decisions inline. Each thread is captured in the audit trail and persists across review cycles.
The cost preview computes the projected token consumption from the row count, the column count, and the average document length before the run commits. The reviewer sees the projected cost and decides whether to proceed. Exhausting the monthly bucket surfaces a top-up bundle flow rather than a silent failure.
Tabular reviews export to Excel and CSV through the platform's unified export pipeline. The export carries the citations and the discussion threads alongside the cell content. Cross-review comparison views can be exported the same way.
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