Review contracts against your playbook.
Send only the exceptions to a lawyer.
Gotham helps UK legal teams review NDAs, supply agreements, licences and full data rooms against their playbook. It flags every clause that departs from your position and links each finding to the clause it came from.
The operational problem
Contract review slows down when every agreement starts as a fresh read. The reviewer has to find the clause, compare it with the approved position, weigh the risk under the governing law, and explain the exception the same way every time.
A useful review tool takes on the finding and comparing, and shows its work. Every flag should lead to the clause, the playbook rule and the reason for escalation, so a lawyer can correct it before it becomes a mark-up or an approval.
A defensible workflow, step by step
Set the playbook
Record required clauses, preferred positions, fallbacks, unacceptable language and when to escalate, by agreement type.
Load the agreements
Upload agreements or import them from Google Drive or SharePoint. Identify versions, parties and governing law first.
Extract with sources
Pull clauses, dates, obligations and defined terms into one grid, with each cell linked to the clause it came from.
Compare and flag
Apply the playbook. Separate missing clauses from deviations, and mark anything ambiguous for a lawyer.
Mark up in Word
A lawyer checks the findings and marks up the agreement with tracked changes in Word.
Record the outcome
Export the issues list, decisions and key terms for approval, due diligence or contract management.
What to evaluate before you buy
Traceability
Can a reviewer go from each flag or extracted term to the exact language behind it?
Playbook fit
Can the tool hold fallback positions and escalation rules, not just spot clause headings?
Governing law
Does the review take account of the governing law, for example English or Scots law?
Word round-trip
Do mark-ups, comments and formatting survive the real negotiation in Word?
Bulk review
Can reviewers filter, correct and export one consistent grid across a data room?
Data location and retention
Where is the data stored, is it used to train models, and what do AI subprocessors keep?
Where lawyer judgment remains essential
Gotham is a work product and decision-support system—not a substitute for professional judgment. Outputs should be reviewed by a qualified professional with the relevant matter context.
- Whether a deviation is acceptable in the commercial context.
- How definitions, schedules, amendments and order-of-precedence clauses interact.
- How the governing law affects a clause, such as an exclusion or limitation of liability.
- Which fallback to offer and when to escalate to the business.
- The final advice, mark-up or approval.
Prove it in a bounded two-week pilot
Use representative work, a fixed baseline and named reviewers. The objective is not a polished demonstration; it is evidence about whether the workflow improves real work safely.
Design the pilot →Pilot scope
- One agreement type with an approved playbook.
- A set of contracts your team has already reviewed, where available.
- The same reviewers and acceptance criteria for the baseline and the pilot.
Measure
- Correct flags and any material issue missed.
- Lawyer correction time, not only first-pass speed.
- How well mark-ups and the issues list work in your Word process.