Legal AI ROI
calculator.

How should an Indian legal team calculate legal automation ROI?

The model compares current workflow effort with a partially adopted AI-assisted process. It treats verification as real work, leaves non-adopted matters at their existing time and subtracts the software estimate from modeled capacity value.

Capacity value is not automatically cash saved or revenue earned. A law firm only realizes revenue when reclaimed time becomes additional collectible work. An in-house team may realize value through capacity, faster service or avoided external spend rather than payroll reduction.

Use assumptions you can defend

How to model legal intake ROI

Treat intake as one measurable workflow whether the current work is handled in-house, outsourced or through a hybrid service. Set the boundary from receipt of a request to an accepted handoff, then include the time spent clarifying submissions, checking conflicts and deadlines, reviewing documents, correcting routing and reopening incomplete matters.

Enter the monthly intake volume, current active handling time and realistic assisted time. Put quality control and exception review in lawyer verification, discount adoption for requests that cannot use the proposed process, and include recurring platform or service fees in software cost. Compare capacity, turnaround, rework and avoided external spend separately; they are not interchangeable forms of realised value.

The legal intake triage workflow defines a general routing model. For disputes and claims, use the legal case intake checklist to define the fields, decisions and acceptance standard before entering assumptions here.

Worked example with the default assumptions

The calculator opens with 100 work items a month, 75 current minutes per item, 25 assisted working minutes, 15 verification minutes, 70 percent adoption, ₹5,000 of capacity value per hour and ₹1,50,000 of monthly software cost. Those are editable sample inputs, not Gotham benchmarks.

The example is intentionally less optimistic than subtracting AI time from every item. It leaves 30 non-adopted items unchanged and counts lawyer verification on the 70 adopted items. If assisted work plus verification exceeds the current baseline, the model reports no reclaimed time.

Measurement log for replacing assumptions

For each pilot item, record the workflow type, baseline source, current active minutes, assisted minutes, verification and correction minutes, accepted or rejected outcome, material error, reviewer and completion date. Summarise medians and ranges as well as averages so a few easy matters do not hide difficult cases.

Turn the model into a pilot

1. Freeze a representative sample and acceptance standard.
2. Record current elapsed time and active lawyer time separately.
3. Run the same task with the configured AI workflow.
4. Measure generation, correction, verification and handoff time.
5. Record missed material issues and unsupported additions.
6. Replace every calculator assumption with the observed result.

Use Gotham's 40-criterion legal AI scorecard alongside the financial model. A workflow with attractive capacity economics still needs to pass accuracy, confidentiality, governance and implementation gates.