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Legal

Legal Software Development Company

FISTA Solutions builds legal software for firms, in-house departments, and legal tech companies: matter and document management, contract lifecycle workflow, client portals, intake and conflicts systems, and AI agents that review and research under attorney supervision with privilege preserved.

150+
projects delivered
50+
companies served
99.9%
verified uptime
47%
efficiency gains
12+
countries reached

What we build

What does a legal software development company build?

FISTA builds matter and document workspaces, contract lifecycle workflow, client and counterparty portals, intake and conflicts checking, e-billing and reporting pipelines, and AI agents that summarize, extract, and draft first passes for attorney review.

  1. 01

    Matter and document workspaces

    Structured matter records, version-controlled documents, and permissioning that reflects ethical walls rather than a flat folder tree.

    Practice
  2. 02

    Contract lifecycle workflow

    Intake, templating, clause libraries, negotiation tracking, approvals, execution, and obligation monitoring after signature.

    CLM
  3. 03

    Client and counterparty portals

    Secure sharing, status visibility, and request handling that replaces email threads and unmanaged file links.

    Client service
  4. 04

    Intake and conflicts

    Structured intake forms, conflicts checking against parties and matters, and engagement letter generation with an audit trail.

    Onboarding
  5. 05

    Billing and reporting

    Time capture, guideline-aware billing rules, e-billing submission, realization dashboards, and matter budget tracking.

    Finance
  6. 06

    Legal AI agents

    Document review triage, clause extraction, deposition and discovery summarization, and research memos, each citing its sources for attorney verification.

    AI

Requirements

Which requirements shape legal software development?

Legal systems are shaped by confidentiality duties, professional supervision rules, and evidentiary discipline: privilege must survive every integration, access must reflect ethical walls, AI output must be verifiable by the attorney who signs it, and records must remain defensible in litigation.

Legal: requirements and how FISTA Solutions builds to them
RequirementWhat it means hereHow FISTA builds to it
Privilege and confidentialityPrivileged material must not leak across matters, clients, or vendors.Matter-scoped access, ethical wall enforcement, encryption, and no training of external models on client content by default.
Professional supervisionAttorneys remain responsible for work product regardless of tooling.Attorney review gates on anything client-facing, citations on every AI assertion, and recorded reviewer identity per output.
DefensibilityRecords and processes may be examined in litigation or by a regulator.Immutable audit trails, versioned documents, retained chain of custody, and exportable records with metadata intact.
Outside counsel guidelinesClients impose security, staffing, and billing rules by contract.Configurable guideline enforcement in billing, documented security controls, and reporting mapped to client requirements.
Data residencyClients and jurisdictions constrain where documents may be stored and processed.Region-pinned storage and processing, documented data flows, and model selection constrained by residency requirements.

Where AI fits

Where do AI agents fit in legal?

AI agents fit legal work where volume outpaces attorney hours: first-pass document review, clause extraction and comparison, discovery and deposition summarization, intake triage, and research memos. Every output cites its source text so the supervising attorney verifies rather than trusts.

  1. 01

    Document review agent

    Performs first-pass responsiveness and issue coding with confidence scores, sending uncertain documents to attorney review queues.

  2. 02

    Clause extraction agent

    Pulls clauses and obligations from executed contracts into a structured register, quoting the contract text behind each entry.

  3. 03

    Discovery summarization agent

    Summarizes depositions and productions into issue-linked timelines with citations to page and line.

  4. 04

    Intake triage agent

    Structures inbound matters, checks conflicts signals, and routes to the right practice group with the rationale recorded.

  5. 05

    Research assistant

    Drafts research memos from approved sources and your internal precedent library, citing every authority for attorney verification.

Cost and timeline

How much does legal software development cost, and how long does it take?

Cost is driven by document volume, integration with your document and practice management systems, and how much workflow is codified; timeline by data migration and partner review cycles. FISTA does not quote blind: the scoping call returns a specification, a plan, and an estimate.

Migration is the underestimated line item. Moving matters, documents, and metadata out of an incumbent system — with permissions and version history intact — is often larger than building the new workspace. FISTA scopes migration separately and proves it on a representative sample before committing to a cutover date.

AI work should be priced against measured accuracy, not enthusiasm. FISTA builds an evaluation set from your own documents, reports precision and recall per task, and sets the review threshold with you, so the savings you plan for are the savings the system actually delivers.

Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.

Get a scoped quote

Delivery

How does FISTA deliver an industry software project?

FISTA delivers in four gated phases: a discovery sprint that produces the specification and integration map, an architecture and compliance design that names every control, iterative builds demoed weekly on your environment, and a verified release with runbooks, monitoring, and a handover or a managed operations option.

  1. 1

    Discover and specify

    Stakeholder interviews, system inventory, data classification, and a written specification with acceptance criteria and a phased plan.

    Output

    Specification, integration map, estimate

  2. 2

    Design for compliance

    Architecture, data model, security controls, and the evidence plan for any audit, agreed before the first sprint.

    Output

    Architecture decision record, control matrix

  3. 3

    Build and demonstrate

    Two-week sprints with automated tests, contract tests on integrations, and a demo on your environment every week.

    Output

    Working increments in your repository

  4. 4

    Verify and operate

    Load, security, and acceptance testing against the spec; release with runbooks, dashboards, and alerting; optional managed operations.

    Output

    Verified release, runbooks, SLOs

Why FISTA

Why choose FISTA Solutions for legal software development?

FISTA builds legal systems that protect privilege by architecture, keep attorneys in the supervision loop, and make every AI assertion checkable against a cited source. Work is contracted through a US entity with full IP assignment and documented data flows for client security reviews.

Legal specifics

  • Matter-scoped permissions and ethical walls enforced in the data layer, not in UI conventions.
  • Client content is not used to train external models; model and region choices are constrained by your residency commitments.
  • Every AI output carries citations to source text, with reviewer identity recorded on the record.
  • Migration is proven on a representative sample before any cutover date is agreed.

How FISTA engineers

  • Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
  • AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
  • Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
  • One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.

What you get as a client

  • 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
  • A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
  • US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
  • Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.

Clear answers

What buyers in this industry ask first.

Straightforward guidance for evaluating scope, fit, and the next step.

01Will our client documents be used to train AI models?

No. FISTA configures deployments so client content is not used for model training, using enterprise endpoints with training disabled or self-hosted models where your obligations require it. The data flow is documented so you can answer client security questionnaires precisely.

02Can AI do legal work without attorney review?

No, and FISTA does not build it that way. Agents produce first-pass review, extraction, summaries, and drafts with citations; a supervising attorney verifies and takes responsibility. The system records who reviewed what and when.

03Can you integrate with our document management system?

Yes, through the supported APIs of common legal document and practice management platforms, preserving matter structure, permissions, and version history rather than flattening everything into a new store.

04How do you handle ethical walls?

Walls are modeled as data — matter, client, and person relationships — and enforced at the query layer, so a walled user cannot retrieve restricted content through search, reports, exports, or an AI agent.

05Do you build for in-house legal departments?

Yes. In-house work usually centers on contract lifecycle, intake and triage, outside counsel spend, and obligation tracking, integrated with the company's existing ERP, CRM, and e-signature tooling.

06How long does a legal software project take?

A focused workspace or CLM release typically takes a few months, with document migration and partner review cycles as the usual critical path. The discovery sprint dates both before you commit.

Scoped in writing before you commit

Give the practice leverage without giving up supervision.

Bring the matter workflow, the contract backlog, or the review volume. The scoping call returns a written specification, an accuracy plan, and a phased estimate.