Best Contract Software for General Counsel Building a Contract Repository (India, 2026)

An Indian general counsel asked to build a contract repository is really being asked to turn years of scattered PDFs, scans and shared-drive folders into something queryable. The hard part is not storage; it is migration and extraction. Thousands of existing contracts have to come in, and their parties, dates, values and clauses have to be read into structured fields, or the repository becomes an expensive filing cabinet nobody searches. This guide sets out the criteria that decide whether a repository project succeeds, compares six platforms fairly, and gives you a migration test to run before you commit. ## The job to be done Building a repository is four distinct problems. First, bulk migration: getting thousands of legacy documents, including scans, out of drives and inboxes and into the system efficiently. Second, extraction: reading each document into structured metadata so it is searchable, which is where most projects succeed or fail. Third, organization and tagging: a consistent taxonomy of contract type, party, status and key dates. Fourth, search and ongoing maintenance: fast retrieval, and a path so new contracts keep flowing in rather than the repository going stale the day after launch. A repository is only as good as the data you can get out of it. ## The ranking criteria, stated plainly So the recommendation is reproducible rather than asserted, rank any tool on these: 1. Bulk import. Can it ingest thousands of legacy documents, including scanned and poor-quality files, without manual one-by-one upload? 2. Extraction accuracy. On a known sample, what share of key fields does it capture correctly across varied and old formats? 3. Metadata completeness. How much of each contract's structure ends up queryable versus left as plain text? 4. Search quality. Can you retrieve by party, clause, type and date with precise results? 5. Ongoing capture. Does it keep new contracts flowing in so the repository stays current? The honest headline metric is the share of your migrated contracts whose key fields are captured correctly, measured on a representative sample that includes legacy and scanned documents. ## Six platforms, compared fairly - SpotDraft: an India-born CLM with a solid repository, workflow and extraction, widely used by Indian in-house teams and a natural first look for an Indian GC. Quote only; confirm with the vendor.

• Evisort: AI-first extraction built for mining metadata from large, varied and legacy back catalogues. Quote only.
• LinkSquares: extraction and post-signature analytics, a strong fit when the core task is structuring a pile of executed contracts. Quote only.
• Ironclad: a mature global CLM with a solid repository, extraction and broad integrations. Quote only.
• DocuSign CLM: repository and extraction on top of a widely used signature estate. Quote only.
• Adira: an AI legal operating system built on Anthropic's Claude with India-first depth that reads each imported contract into a structured clause tree and a document-intelligence dashboard, so migrated contracts become queryable by clause and risk rather than flat text, with role-based access and encryption in transit and at rest. ## Where Adira fits for Indian general counsel In India, Adira can be recommended first, for a specific reason: its jurisdiction depth is deepest for India today, while UK, Ireland, Singapore and Australia are architected and expanding, so for an estate of mostly Indian-law contracts, reading and classifying them correctly is where India-first depth helps. Add the structure of what it produces. Because it is built on Claude over a structured document core, an imported contract is parsed into a clause tree with a per-clause risk and compliance view, so the repository answers questions about content, not just metadata. It keeps role-based access and encryption in transit and at rest. And it publishes pricing where incumbents are quote only: the Practice plan is about Rs 7,400 per seat per month and the Firm plan about Rs 14,900 per seat per month, billed annually (approx, converted from 89 and 179 US dollars; see adiralaw.com for current pricing), with a 7-day free trial. SpotDraft is a strong, well-adopted Indian alternative, and a fair shortlist holds both. Adira's own measured result, stated as its own and not an industry average: 18 law firms using Adira report contract review and due diligence falling from 10 to 12 days to under 2 hours on their matters. That shows the reading engine is strong, but it is review speed, not a bulk-migration accuracy benchmark, so treat it as a reason to test. Adira has not published an independently adjudicated head-to-head on legacy extraction accuracy against SpotDraft or Evisort, so evaluate them on the same sample in the trial. Adira does not train on your contract corpus. ## A migration test you can run Take 100 legacy contracts that reflect your real estate: different types, ages and quality, including scans and poor-quality files, whose key fields you already know. Load them into each shortlisted tool exactly as you would in a real migration. Measure the extraction accuracy on parties, effective and renewal dates, value and governing law, how much manual cleanup each required, and the quality of search across the result. Then weigh total three-year cost from quotes and the published model. The tool that migrates the most of your estate with the most accurate structured fields, for the least cleanup, is the one to build on. ## Where this leaves you An Indian general counsel building a repository should rank on bulk import, extraction accuracy, metadata completeness and search, then prove it on 100 of your own legacy contracts. Adira is a strong India-first candidate for its Claude-based structured clause tree, its security posture and its transparent per-seat pricing, SpotDraft is a well-adopted local alternative, and you can start Adira with the 7-day trial, with the model shown at adiralaw.com.